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Global patterns of mortality in international migrants: a systematic review and meta-analysis.

Background: 258 million people reside outside their country of birth; however, to date no global systematic reviews or meta-analyses of mortality data for these international migrants have been done. We aimed to review and synthesise available mortality data on international migrants. Methods: In this systematic review and meta-analysis, we searched MEDLINE, Embase, the Cochrane Library, and Google Scholar databases for observational studies, systematic reviews, and randomised controlled trials published between Jan 1, 2001, and March 31, 2017, without language restrictions. We included studies reporting mortality outcomes for international migrants of any age residing outside their country of birth. Studies that recruited participants exclusively from intensive care or high dependency hospital units, with an existing health condition or status, or a particular health exposure were excluded. We also excluded studies limited to maternal or perinatal outcomes. We screened studies using systematic review software and extracted data from published reports. The main outcomes were all-cause and International Classification of Diseases, tenth revision (ICD-10) cause-specific standardised mortality ratios (SMRs) and absolute mortality rates. We calculated summary estimates using random-effects models. This study is registered with PROSPERO, number CRD42017073608. Findings: Of the 12 480 articles identified by our search, 96 studies were eligible for inclusion. The studies were geographically diverse and included data from all global regions and for 92 countries. 5464 mortality estimates for more than 15·2 million migrants were included, of which 5327 (97%) were from high-income countries, 115 (2%) were from middle-income countries, and 22 (<1%) were from low-income countries. Few studies included mortality estimates for refugees (110 estimates), asylum seekers (144 estimates), or labour migrants (six estimates). The summary estimate of all-cause SMR for international migrants was lower than one when compared with the general population in destination countries (0·70 [95% CI 0·65-0·76]; I2=99·8%). All-cause SMR was lower in both male migrants (0·72 [0·63-0·81]; I2=99·8%) and female migrants (0·75 [0·67-0·84]; I2=99·8%) compared with the general population. A mortality advantage was evident for refugees (SMR 0·50 [0·46-0·54]; I2=89·8%), but not for asylum seekers (1·05 [0·89-1·24]; I2=54·4%), although limited data was available on these groups. SMRs for all causes of death were lower in migrants compared with the general populations in the destination country across all 13 ICD-10 categories analysed, with the exception of infectious diseases and external causes. Heterogeneity was high across the majority of analyses. Point estimates of all-cause age-standardised mortality in migrants ranged from 420 to 874 per 100 000 population. Interpretation: Our study showed that international migrants have a mortality advantage compared with general populations, and that this advantage persisted across the majority of ICD-10 disease categories. The mortality advantage identified will be representative of international migrants in high-income countries who are studying, working, or have joined family members in these countries. However, our results might not reflect the health outcomes of more marginalised groups in low-income and middle-income countries because little data were available for these groups, highlighting an important gap in existing research. Our results present an opportunity to reframe the public discourse on international migration and health in high-income countries. Funding: Wellcome Trust, National Institute for Health Research, Medical Research Council, Alliance for Health Policy and Systems Research, Department for International Development, Fogarty International Center, Grand Challenges Canada, International Development Research Centre Canada, Inter-American Institute for Global Change Research, National Cancer Institute, National Heart, Lung and Blood Institute, National Institute of Mental Health, Swiss National Science Foundation, World Diabetes Foundation, UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, and European Society for Clinical Microbiology and Infectious Diseases (ESCMID) Study Group Research Funding for the ESCMID Study Group for Infections in Travellers and Migrants.

Lancet (London, England) · meta-analysis · 198 citationsread the source →

Effects of Psilocybin-Assisted Therapy on Major Depressive Disorder: A Randomized Clinical Trial.

Importance: Major depressive disorder (MDD) is a substantial public health burden, but current treatments have limited effectiveness and adherence. Recent evidence suggests that 1 or 2 administrations of psilocybin with psychological support produces antidepressant effects in patients with cancer and in those with treatment-resistant depression. Objective: To investigate the effect of psilocybin therapy in patients with MDD. Design, setting, and participants: This randomized, waiting list-controlled clinical trial was conducted at the Center for Psychedelic and Consciousness Research at Johns Hopkins Bayview Medical Center in Baltimore, Maryland. Adults aged 21 to 75 years with an MDD diagnosis, not currently using antidepressant medications, and without histories of psychotic disorder, serious suicide attempt, or hospitalization were eligible to participate. Enrollment occurred between August 2017 and April 2019, and the 4-week primary outcome assessments were completed in July 2019. A total of 27 participants were randomized to an immediate treatment condition group (n = 15) or delayed treatment condition group (waiting list control condition; n = 12). Data analysis was conducted from July 1, 2019, to July 31, 2020, and included participants who completed the intervention (evaluable population). Interventions: Two psilocybin sessions (session 1: 20 mg/70 kg; session 2: 30 mg/70 kg) were given (administered in opaque gelatin capsules with approximately 100 mL of water) in the context of supportive psychotherapy (approximately 11 hours). Participants were randomized to begin treatment immediately or after an 8-week delay. Main outcomes and measures: The primary outcome, depression severity was assessed with the GRID-Hamilton Depression Rating Scale (GRID-HAMD) scores at baseline (score of ≥17 required for enrollment) and weeks 5 and 8 after enrollment for the delayed treatment group, which corresponded to weeks 1 and 4 after the intervention for the immediate treatment group. Secondary outcomes included the Quick Inventory of Depressive Symptomatology-Self Rated (QIDS-SR). Results: Of the randomized participants, 24 of 27 (89%) completed the intervention and the week 1 and week 4 postsession assessments. This population had a mean (SD) age of 39.8 (12.2) years, was composed of 16 women (67%), and had a mean (SD) baseline GRID-HAMD score of 22.8 (3.9). The mean (SD) GRID-HAMD scores at weeks 1 and 4 (8.0 [7.1] and 8.5 [5.7]) in the immediate treatment group were statistically significantly lower than the scores at the comparable time points of weeks 5 and 8 (23.8 [5.4] and 23.5 [6.0]) in the delayed treatment group. The effect sizes were large at week 5 (Cohen d = 2.5; 95% CI, 1.4-3.5; P < .001) and week 8 (Cohen d = 2.6; 95% CI, 1.5-3.7; P < .001). The QIDS-SR documented a rapid decrease in mean (SD) depression score from baseline to day 1 after session 1 (16.7 [3.5] vs 6.3 [4.4]; Cohen d = 2.6; 95% CI, 1.8-3.5; P < .001), which remained statistically significantly reduced through the week 4 follow-up (6.0 [5.7]; Cohen d = 2.3; 95% CI, 1.5-3.0; P < .001). In the overall sample, 17 participants (71%) at week 1 and 17 (71%) at week 4 had a clinically significant response to the intervention (≥50% reduction in GRID-HAMD score), and 14 participants (58%) at week 1 and 13 participants (54%) at week 4 were in remission (≤7 GRID-HAMD score). Conclusions and relevance: Findings suggest that psilocybin with therapy is efficacious in treating MDD, thus extending the results of previous studies of this intervention in patients with cancer and depression and of a nonrandomized study in patients with treatment-resistant depression. Trial registration: ClinicalTrials.gov Identifier: NCT03181529.

JAMA psychiatry · randomised controlled trial · 900 citationsread the source →

Effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse or recurrence (PREVENT): a randomised controlled trial

BACKGROUND: Individuals with a history of recurrent depression have a high risk of repeated depressive relapse or recurrence. Maintenance antidepressants for at least 2 years is the current recommended treatment, but many individuals are interested in alternatives to medication. Mindfulness-based cognitive therapy (MBCT) has been shown to reduce risk of relapse or recurrence compared with usual care, but has not yet been compared with maintenance antidepressant treatment in a definitive trial. We aimed to see whether MBCT with support to taper or discontinue antidepressant treatment (MBCT-TS) was superior to maintenance antidepressants for prevention of depressive relapse or recurrence over 24 months. METHODS: In this single-blind, parallel, group randomised controlled trial (PREVENT), we recruited adult patients with three or more previous major depressive episodes and on a therapeutic dose of maintenance antidepressants, from primary care general practices in urban and rural settings in the UK. Participants were randomly assigned to either MBCT-TS or maintenance antidepressants (in a 1:1 ratio) with a computer-generated random number sequence with stratification by centre and symptomatic status. Participants were aware of treatment allocation and research assessors were masked to treatment allocation. The primary outcome was time to relapse or recurrence of depression, with patients followed up at five separate intervals during the 24-month study period. The primary analysis was based on the principle of intention to treat. The trial is registered with Current Controlled Trials, ISRCTN26666654. FINDINGS: Between March 23, 2010, and Oct 21, 2011, we assessed 2188 participants for eligibility and recruited 424 patients from 95 general practices. 212 patients were randomly assigned to MBCT-TS and 212 to maintenance antidepressants. The time to relapse or recurrence of depression did not differ between MBCT-TS and maintenance antidepressants over 24 months (hazard ratio 0·89, 95% CI 0·67-1·18; p=0·43), nor did the number of serious adverse events. Five adverse events were reported, including two deaths, in each of the MBCT-TS and maintenance antidepressants groups. No adverse events were attributable to the interventions or the trial. INTERPRETATION: We found no evidence that MBCT-TS is superior to maintenance antidepressant treatment for the prevention of depressive relapse in individuals at risk for depressive relapse or recurrence. Both treatments were associated with enduring positive outcomes in terms of relapse or recurrence, residual depressive symptoms, and quality of life. FUNDING: National Institute for Health Research (NIHR) Health Technology Assessment (HTA) programme, and NIHR Collaboration for Leadership in Applied Health Research and Care South West Peninsula.

The Lancet · randomised controlled trial · 531 citationsread the source →

Exercise on prescription for women aged 40-74 recruited through primary care: two year randomised controlled trial.

Objective: To assess the effectiveness of a primary care based programme of exercise on prescription among relatively inactive women over a two year period. Design: Randomised controlled trial. Setting: 17 primary care practices in Wellington, New Zealand Participants: 1089 women aged 40-74 not undertaking 30 minutes of moderate intensity physical activity on at least five days of the week Intervention: Brief physical activity intervention led by nurse with six month follow-up visit and monthly telephone support over nine months. Main outcome measure: Physical activity assessed at baseline and 12 and 24 months. Secondary outcomes were quality of life (SF-36), weight, waist circumference, blood pressure, concentrations of fasting serum lipids, glycated haemoglobin (HbA(1c)), glucose, insulin, and physical fitness. Results: Mean age was 58.9 (SD 7) years. Trial retention rates were 93% and 89% at 12 and 24 months, respectively. At baseline, 10% of intervention participants and 11% of control participants were achieving 150 minutes of at least moderate intensity physical activity a week. At 12 months rates increased to 43% and 30% and at 24 months to 39.3% and 32.8% (P<0.001), respectively. SF-36 physical functioning (P=0.03) and mental health (P<0.05) scores improved more in intervention compared with control participants, but role physical scores were significantly lower (P<0.01). There were no significant differences in clinical outcomes. More falls (P<0.001) and injuries (P=0.03) were recorded in the intervention group. Conclusions: This programme of exercise on prescription increased physical activity and quality of life over two years, although falls and injuries also increased. This finding supports the use of exercise on prescription programmes as part of population strategies to reduce physical inactivity. Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR) ANZCTRN012605000490673.

BMJ (Clinical research ed.) · randomised controlled trial · 108 citationsread the source →

Stepped early psychological intervention for posttraumatic stress disorder, other anxiety disorders, and depression following serious injury.

The best approach for implementing early psychological intervention for anxiety and depressive disorders after a traumatic event has not been established. This study aimed to test the effectiveness of a stepped model of early psychological intervention following traumatic injury. A sample of 683 consecutively admitted injury patients were screened during hospitalization. High-risk patients were followed up at 4-weeks postinjury and assessed for anxiety and depression symptom levels. Patients with elevated symptoms were randomly assigned to receive 4-10 sessions of cognitive-behavioral therapy (n = 24) or usual care (n = 22). Screening in the hospital identified 89% of those who went on to develop any anxiety or affective disorder at 12 months. Relative to usual care, patients receiving early intervention had significantly improved mental health at 12 months. A stepped model can effectively identify and treat injury patients with high psychiatric symptoms within 3 months of the initial trauma.

Journal of traumatic stress · randomised controlled trial · 56 citationsread the source →

Systematic review and meta-analysis of transdiagnostic psychological treatments for anxiety and depressive disorders in adulthood.

A broad array of transdiagnostic psychological treatments for depressive and anxiety disorders have been evaluated, but existing reviews of this literature are restricted to face-to-face cognitive behavioural therapy (CBT) protocols. The current meta-analysis focused on studies evaluating clinician-guided internet/computerised or face-to-face manualised transdiagnostic treatments, to examine their effects on anxiety, depression and quality of life (QOL). Results from 50 studies showed that transdiagnostic treatments are efficacious, with large overall mean uncontrolled effects (pre- to post-treatment) for anxiety and depression (gs=.85 and .91 respectively), and medium for QOL (g=.69). Uncontrolled effect sizes were stable at follow-up. Results from 24 RCTs that met inclusion criteria showed that transdiagnostic treatments outperformed control conditions on all outcome measures (controlled ESs: gs=.65, .80, and .46 for anxiety, depression and QOL respectively), with the smallest differences found compared to treatment-as-usual (TAU) control conditions. RCT quality was generally poor, and heterogeneity was high. Examination of the high heterogeneity revealed that CBT protocols were more effective than mindfulness/acceptance protocols for anxiety (uncontrolled ESs: gs=.88 and .61 respectively), but not depression. Treatment delivery format influenced outcomes for anxiety (uncontrolled ESs: group: g=.70, individual: g=.97, computer/internet: g=.96) and depression (uncontrolled ESs: group: g=.89, individual: g=.86, computer/internet: g=.96). Preliminary evidence from 4 comparisons with disorder-specific treatments suggests that transdiagnostic treatments are as effective for reducing anxiety, and may be superior for reducing depression. These findings show that transdiagnostic psychological treatments are efficacious, but higher quality research studies are needed to explore the sources of heterogeneity amongst treatment effects.

Clinical psychology review · meta-analysis · 307 citationsread the source →

Comparison of paediatric emergency department visits for attempted suicide, self-harm, and suicidal ideation before and during the COVID-19 pandemic: a systematic review and meta-analysis.

Background: There is a lack of consensus about the effect of the COVID-19 pandemic on the mental health of children and adolescents. We aimed to compare rates of paediatric emergency department visits for attempted suicide, self-harm, and suicidal ideation during the pandemic with those before the pandemic. Methods: For this systematic review and meta-analysis, we searched MEDLINE, Embase, and PsycINFO for studies published between Jan 1, 2020, and Dec 19, 2022. Studies published in English with data on paediatric (ie, those aged <19 years) emergency department visits before and during the COVID-19 pandemic were included. Case studies and qualitative analyses were excluded. Changes in attempted suicide, self-harm, suicidal ideation, and other mental-illness indicators (eg, anxiety, depression, and psychosis) were expressed as ratios of the rates of emergency department visits during the pandemic compared with those before the pandemic, and we analysed these with a random-effects meta-analysis. This study was registered with PROSPERO, CRD42022341897. Findings: 10 360 non-duplicate records were retrieved, which yielded 42 relevant studies (with 130 sample-estimates) representing 11·1 million emergency department visits for all indications of children and adolescents across 18 countries. The mean age of the samples of children and adolescents across studies was 11·7 years (SD 3·1, range 5·5-16·3), and there were on average 57·6% girls and 43·4% boys as a proportion of emergency department visits for any health reasons (ie, physical and mental). Only one study had data related to race or ethnicity. There was good evidence of an increase in emergency department visits for attempted suicide during the pandemic (rate ratio 1·22, 90% CI 1·08-1·37), modest evidence of an increase in emergency department visits for suicidal ideation (1·08, 0·93-1·25), and good evidence for only a slight change in self-harm (0·96, 0·89-1·04). Rates of emergency department visits for other mental-illness indications showed very good evidence of a decline (0·81, 0·74-0·89), and paediatric visits for all health indications showed strong evidence of a reduction (0·68, 0·62-0·75). When rates for attempted suicide and suicidal ideation were combined as a single measure, there was good evidence of an increase in emergency department visits among girls (1·39, 1·04-1·88) and only modest evidence of an increase among boys (1·06, 0·92-1·24). Self-harm among older children (mean age 16·3 years, range 13·0-16·3) showed good evidence of an increase (1·18, 1·00-1·39), but among younger children (mean age 9·0 years, range 5·5-12·0) there was modest evidence of a decrease (0·85, 0·70-1·05). Interpretation: The integration of mental health support within community health and the education system-including promotion, prevention, early intervention, and treatment-is urgently needed to increase the reach of mental health support that can mitigate child and adolescent mental distress. In future pandemics, increased resourcing in some emergency department settings would help to address their expected increase in visits for acute mental distress among children and adolescents. Funding: None.

The lancet. Psychiatry · meta-analysis · 164 citationsread the source →

Risk factors for non-suicidal self-injury (NSSI) in adolescents: A meta-analysis.

Background: Non-suicidal self-injury (NSSI) in adolescents is a significant mental health problem around the world. Here, we performed a meta-analysis to systematically delineate the risk factors for NSSI. Method: We searched Medline, Embase, Web of Science and Cochrane for relevant articles and abstracts published prior to 12 November 2021. Pooled odds ratios (ORs) and 95% confident intervals (CIs) were used to assess various risk factors, and publication bias was assessed by Egger's test, the trim and fill method and meta-regression. This study is registered with PROSPERO, CRD42021265885. Results: A total of 25 articles were eventually included in the analysis. Eighty risk factors were identified and classified into 7 categories: mental disorders (ORs, 1·89; 95% CI, 1·60-2·24), bullying (ORs, 1·98; 95% CI, 1·32-2·95), low health literacy (ORs, 2·20; 95% CI, 1·63-2·96), problem behaviours (ORs, 2·36; 95% CI, 2·00-2·77), adverse childhood experiences (ORs, 2·49; 95% CI, 1·85-3.34), physical symptoms (ORs, 2·85; 95% CI, 1·36-5·97) and the female gender (ORs, 2·89; 95% CI, 2·43-3·43). The range of heterogeneity (I2) was from 20·3% to 99·2%. Conclusion: This meta-analysis found that mental disorders, low health literacy, adverse childhood experiences, bullying, problem behaviours, the female gender and physical symptoms appear to be risk factors for NSSI.

EClinicalMedicine · 170 citationsread the source →

Ketamine and Other NMDA Antagonists: Early Clinical Trials and Possible Mechanisms in Depression.

Objective: The authors conducted a systematic review and meta-analysis of ketamine and other N-methyl-d-aspartate (NMDA) receptor antagonists in the treatment of major depression. Method: Searches of MEDLINE, PsycINFO, and other databases were conducted for placebo-controlled, double-blind, randomized clinical trials of NMDA antagonists in the treatment of depression. Primary outcomes were rates of treatment response and transient remission of symptoms. Secondary outcomes included change in depression symptom severity and the frequency and severity of dissociative and psychotomimetic effects. Results for each NMDA antagonist were combined in meta-analyses, reporting odds ratios for dichotomous outcomes and standardized mean differences for continuous outcomes. Results: Ketamine (seven trials encompassing 147 ketamine-treated participants) produced a rapid, yet transient, antidepressant effect, with odds ratios for response and transient remission of symptoms at 24 hours equaling 9.87 (4.37-22.29) and 14.47 (2.67-78.49), respectively, accompanied by brief psychotomimetic and dissociative effects. Ketamine augmentation of ECT (five trials encompassing 89 ketamine-treated participants) significantly reduced depressive symptoms following an initial treatment (Hedges' g=0.933) but not at the conclusion of the ECT course. Other NMDA antagonists failed to consistently demonstrate efficacy; however, two partial agonists at the NMDA coagonist site, d-cycloserine and rapastinel, significantly reduced depressive symptoms without psychotomimetic or dissociative effects. Conclusions: The antidepressant efficacy of ketamine, and perhaps D-cycloserine and rapastinel, holds promise for future glutamate-modulating strategies; however, the ineffectiveness of other NMDA antagonists suggests that any forthcoming advances will depend on improving our understanding of ketamine's mechanism of action. The fleeting nature of ketamine's therapeutic benefit, coupled with its potential for abuse and neurotoxicity, suggest that its use in the clinical setting warrants caution.

The American journal of psychiatry · systematic review · 452 citationsread the source →

Drugs for preventing postoperative nausea and vomiting in adults after general anaesthesia: a network meta-analysis.

Background: Postoperative nausea and vomiting (PONV) is a common adverse effect of anaesthesia and surgery. Up to 80% of patients may be affected. These outcomes are a major cause of patient dissatisfaction and may lead to prolonged hospital stay and higher costs of care along with more severe complications. Many antiemetic drugs are available for prophylaxis. They have various mechanisms of action and side effects, but there is still uncertainty about which drugs are most effective with the fewest side effects. Objectives: • To compare the efficacy and safety of different prophylactic pharmacologic interventions (antiemetic drugs) against no treatment, against placebo, or against each other (as monotherapy or combination prophylaxis) for prevention of postoperative nausea and vomiting in adults undergoing any type of surgery under general anaesthesia • To generate a clinically useful ranking of antiemetic drugs (monotherapy and combination prophylaxis) based on efficacy and safety • To identify the best dose or dose range of antiemetic drugs in terms of efficacy and safety SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the World Health Organization International Clinical Trials Registry Platform (WHO ICTRP), ClinicalTrials.gov, and reference lists of relevant systematic reviews. The first search was performed in November 2017 and was updated in April 2020. In the update of the search, 39 eligible studies were found that were not included in the analysis (listed as awaiting classification). Selection criteria: Randomized controlled trials (RCTs) comparing effectiveness or side effects of single antiemetic drugs in any dose or combination against each other or against an inactive control in adults undergoing any type of surgery under general anaesthesia. All antiemetic drugs belonged to one of the following substance classes: 5-HT₃ receptor antagonists, D₂ receptor antagonists, NK₁ receptor antagonists, corticosteroids, antihistamines, and anticholinergics. No language restrictions were applied. Abstract publications were excluded. Data collection and analysis: A review team of 11 authors independently assessed trials for inclusion and risk of bias and subsequently extracted data. We performed pair-wise meta-analyses for drugs of direct interest (amisulpride, aprepitant, casopitant, dexamethasone, dimenhydrinate, dolasetron, droperidol, fosaprepitant, granisetron, haloperidol, meclizine, methylprednisolone, metoclopramide, ondansetron, palonosetron, perphenazine, promethazine, ramosetron, rolapitant, scopolamine, and tropisetron) compared to placebo (inactive control). We performed network meta-analyses (NMAs) to estimate the relative effects and ranking (with placebo as reference) of all available single drugs and combinations. Primary outcomes were vomiting within 24 hours postoperatively, serious adverse events (SAEs), and any adverse event (AE). Secondary outcomes were drug class-specific side effects (e.g. headache), mortality, early and late vomiting, nausea, and complete response. We performed subgroup network meta-analysis with dose of drugs as a moderator variable using dose ranges based on previous consensus recommendations. We assessed certainty of evidence of NMA treatment effects for all primary outcomes and drug class-specific side effects according to GRADE (CINeMA, Confidence in Network Meta-Analysis). We restricted GRADE assessment to single drugs of direct interest compared to placebo. Main results: We included 585 studies (97,516 randomized participants). Most of these studies were small (median sample size of 100); they were published between 1965 and 2017 and were primarily conducted in Asia (51%), Europe (25%), and North America (16%). Mean age of the overall population was 42 years. Most participants were women (83%), had American Society of Anesthesiologists (ASA) physical status I and II (70%), received perioperative opioids (88%), and underwent gynaecologic (32%) or gastrointestinal surgery (19%) under general anaesthesia using volatile anaesthetics (88%). In this review, 44 single drugs and 51 drug combinations were compared. Most studies investigated only single drugs (72%) and included an inactive control arm (66%). The three most investigated single drugs in this review were ondansetron (246 studies), dexamethasone (120 studies), and droperidol (97 studies). Almost all studies (89%) reported at least one efficacy outcome relevant for this review. However, only 56% reported at least one relevant safety outcome. Altogether, 157 studies (27%) were assessed as having overall low risk of bias, 101 studies (17%) overall high risk of bias, and 327 studies (56%) overall unclear risk of bias. Vomiting within 24 hours postoperatively Relative effects from NMA for vomiting within 24 hours (282 RCTs, 50,812 participants, 28 single drugs, and 36 drug combinations) suggest that 29 out of 36 drug combinations and 10 out of 28 single drugs showed a clinically important benefit (defined as the upper end of the 95% confidence interval (CI) below a risk ratio (RR) of 0.8) compared to placebo. Combinations of drugs were generally more effective than single drugs in preventing vomiting. However, single NK₁ receptor antagonists showed treatment effects similar to most of the drug combinations. High-certainty evidence suggests that the following single drugs reduce vomiting (ordered by decreasing efficacy): aprepitant (RR 0.26, 95% CI 0.18 to 0.38, high certainty, rank 3/28 of single drugs); ramosetron (RR 0.44, 95% CI 0.32 to 0.59, high certainty, rank 5/28); granisetron (RR 0.45, 95% CI 0.38 to 0.54, high certainty, rank 6/28); dexamethasone (RR 0.51, 95% CI 0.44 to 0.57, high certainty, rank 8/28); and ondansetron (RR 0.55, 95% CI 0.51 to 0.60, high certainty, rank 13/28). Moderate-certainty evidence suggests that the following single drugs probably reduce vomiting: fosaprepitant (RR 0.06, 95% CI 0.02 to 0.21, moderate certainty, rank 1/28) and droperidol (RR 0.61, 95% CI 0.54 to 0.69, moderate certainty, rank 20/28). Recommended and high doses of granisetron, dexamethasone, ondansetron, and droperidol showed clinically important benefit, but low doses showed no clinically important benefit. Aprepitant was used mainly at high doses, ramosetron at recommended doses, and fosaprepitant at doses of 150 mg (with no dose recommendation available). Frequency of SAEs Twenty-eight RCTs were included in the NMA for SAEs (10,766 participants, 13 single drugs, and eight drug combinations). The certainty of evidence for SAEs when using one of the best and most reliable anti-vomiting drugs (aprepitant, ramosetron, granisetron, dexamethasone, ondansetron, and droperidol compared to placebo) ranged from very low to low. Droperidol (RR 0.88, 95% CI 0.08 to 9.71, low certainty, rank 6/13) may reduce SAEs. We are uncertain about the effects of aprepitant (RR 1.39, 95% CI 0.26 to 7.36, very low certainty, rank 11/13), ramosetron (RR 0.89, 95% CI 0.05 to 15.74, very low certainty, rank 7/13), granisetron (RR 1.21, 95% CI 0.11 to 13.15, very low certainty, rank 10/13), dexamethasone (RR 1.16, 95% CI 0.28 to 4.85, very low certainty, rank 9/13), and ondansetron (RR 1.62, 95% CI 0.32 to 8.10, very low certainty, rank 12/13). No studies reporting SAEs were available for fosaprepitant. Frequency of any AE Sixty-one RCTs were included in the NMA for any AE (19,423 participants, 15 single drugs, and 11 drug combinations). The certainty of evidence for any AE when using one of the best and most reliable anti-vomiting drugs (aprepitant, ramosetron, granisetron, dexamethasone, ondansetron, and droperidol compared to placebo) ranged from very low to moderate. Granisetron (RR 0.92, 95% CI 0.80 to 1.05, moderate certainty, rank 7/15) probably has no or little effect on any AE. Dexamethasone (RR 0.77, 95% CI 0.55 to 1.08, low certainty, rank 2/15) and droperidol (RR 0.89, 95% CI 0.81 to 0.98, low certainty, rank 6/15) may reduce any AE. Ondansetron (RR 0.95, 95% CI 0.88 to 1.01, low certainty, rank 9/15) may have little or no effect on any AE. We are uncertain about the effects of aprepitant (RR 0.87, 95% CI 0.78 to 0.97, very low certainty, rank 3/15) and ramosetron (RR 1.00, 95% CI 0.65 to 1.54, very low certainty, rank 11/15) on any AE. No studies reporting any AE were available for fosaprepitant. Class-specific side effects For class-specific side effects (headache, constipation, wound infection, extrapyramidal symptoms, sedation, arrhythmia, and QT prolongation) of relevant substances, the certainty of evidence for the best and most reliable anti-vomiting drugs mostly ranged from very low to low. Exceptions were that ondansetron probably increases headache (RR 1.16, 95% CI 1.06 to 1.28, moderate certainty, rank 18/23) and probably reduces sedation (RR 0.87, 95% CI 0.79 to 0.96, moderate certainty, rank 5/24) compared to placebo. The latter effect is limited to recommended and high doses of ondansetron. Droperidol probably reduces headache (RR 0.76, 95% CI 0.67 to 0.86, moderate certainty, rank 5/23) compared to placebo. We have high-certainty evidence that dexamethasone (RR 1.00, 95% CI 0.91 to 1.09, high certainty, rank 16/24) has no effect on sedation compared to placebo. No studies assessed substance class-specific side effects for fosaprepitant. Direction and magnitude of network effect estimates together with level of evidence certainty are graphically summarized for all pre-defined GRADE-relevant outcomes and all drugs of direct interest compared to placebo in http://doi.org/10.5281/zenodo.4066353. Authors' conclusions: We found high-certainty evidence that five single drugs (aprepitant, ramosetron, granisetron, dexamethasone, and ondansetron) reduce vomiting, and moderate-certainty evidence that two other single drugs (fosaprepitant and droperidol) probably reduce vomiting, compared to placebo. Four of the six substance classes (5-HT₃ receptor antagonists, D₂ receptor antagonists, NK₁ receptor antagonists, and corticosteroids) were thus represented by at least one drug with important benefit for prevention of vomiting. Combinations of drugs were generally more effective than the corresponding single drugs in preventing vomiting. NK₁ receptor antagonists were the most effective drug class and had comparable efficacy to most of the drug combinations. 5-HT₃ receptor antagonists were the best studied substance class. For most of the single drugs of direct interest, we found only very low to low certainty evidence for safety outcomes such as occurrence of SAEs, any AE, and substance class-specific side effects. Recommended and high doses of granisetron, dexamethasone, ondansetron, and droperidol were more effective than low doses for prevention of vomiting. Dose dependency of side effects was rarely found due to the limited number of studies, except for the less sedating effect of recommended and high doses of ondansetron. The results of the review are transferable mainly to patients at higher risk of nausea and vomiting (i.e. healthy women undergoing inhalational anaesthesia and receiving perioperative opioids). Overall study quality was limited, but certainty assessments of effect estimates consider this limitation. No further efficacy studies are needed as there is evidence of moderate to high certainty for seven single drugs with relevant benefit for prevention of vomiting. However, additional studies are needed to investigate potential side effects of these drugs and to examine higher-risk patient populations (e.g. individuals with diabetes and heart disease).

The Cochrane database of systematic reviews · systematic review · 127 citationsread the source →

Psychotherapy for depression in older veterans via telemedicine: a randomised, open-label, non-inferiority trial.

Background: Many older adults with major depression, particularly veterans, do not have access to evidence-based psychotherapy. Telemedicine could increase access to best-practice care for older adults facing barriers of mobility, stigma, and geographical isolation. We aimed to establish non-inferiority of behavioural activation therapy for major depression delivered via telemedicine to same-room care in largely male, older adult veterans. Methods: In this randomised, controlled, open-label, non-inferiority trial, we recruited veterans (aged ≥58 years) meeting DSM-IV criteria for major depressive disorder from the Ralph H Johnson Veterans Affairs Medical Center and four associated community outpatient-based clinics in the USA. We excluded actively psychotic or demented people, those with both suicidal ideation and clear intent, and those with substance dependence. The study coordinator randomly assigned participants (1:1; block size 2-6; stratified by race; computer-generated randomisation sequence by RGK) to eight sessions of behavioural activation for depression either via telemedicine or in the same room. The primary outcome was treatment response according to the Geriatric Depression Scale (GDS) and Beck Depression Inventory (BDI; defined as a 50% reduction in symptoms from baseline at 12 months), and Structured Clinical Interview for DSM-IV, clinician version (defined as no longer being diagnosed with major depressive disorder at 12 months follow-up), in the per-protocol population (those who completed at least four treatment sessions and for whom all outcome measurements were done). Those assessing outcomes were masked. The non-inferiority margin was 15%. This trial is registered with ClinicalTrials.gov, number NCT00324701. Findings: Between April 1, 2007, and July 31, 2011, we screened 780 patients, and the study coordinator randomly assigned participants to either telemedicine (120 [50%]) or same-room treatment (121 [50%]). We included 100 (83%) patients in the per-protocol analysis in the telemedicine group and 104 (86%) in the same-room group. Treatment response according to GDS did not differ significantly between the telemedicine (22 [22·45%, 90% CI 15·52-29·38] patients) and same-room (21 [20·39%, 90% CI 13·86-26·92]) groups, with an absolute difference of 2·06% (90% CI -7·46 to 11·58). Response according to BDI also did not differ significantly (telemedicine 19 [24·05%, 90% CI 16·14-31·96] patients; same room 19 [23·17%, 90% CI 15·51-30·83]), with an absolute difference of 0·88% (90% CI -10·13 to 11·89). Response on the Structured Clinical Interview for DSM-IV, clinician version, also did not differ significantly (39 [43·33%, 90% CI 34·74-51·93] patients in the telemedicine group and 46 [48·42%, 90% CI 39·99-56·85] in the same-room group), with a difference of -5·09% (-17·13 to 6·95; p=0·487). Results from the intention-to-treat population were similar. MEM analyses showed that no significant differences existed between treatment trajectories over time for BDI and GDS. The criteria for non-inferiority were met. We did not note any adverse events. Interpretation: Telemedicine-delivered psychotherapy for older adults with major depression is not inferior to same-room treatment. This finding shows that evidence-based psychotherapy can be delivered, without modification, via home-based telemedicine, and that this method can be used to overcome barriers to care associated with distance from and difficulty with attendance at in-person sessions in older adults. Funding: US Department of Veterans Affairs.

The lancet. Psychiatry · randomised controlled trial · 123 citationsread the source →

Smoking cessation for people with severe mental illness (SCIMITAR+): a pragmatic randomised controlled trial.

Background: People with severe mental illnesses such as schizophrenia are three times more likely to smoke than the wider population, contributing to widening health inequalities. Smoking remains the largest modifiable risk factor for this health inequality, but people with severe mental illness have not historically engaged with smoking cessation services. We aimed to test the effectiveness of a combined behavioural and pharmacological smoking cessation intervention targeted specifically at people with severe mental illness. Methods: In the smoking cessation intervention for severe mental illness (SCIMITAR+) trial, a pragmatic, randomised controlled study, we recruited heavy smokers with bipolar disorder or schizophrenia from 16 primary care and 21 community-based mental health sites in the UK. Participants were eligible if they were aged 18 years or older, and smoked at least five cigarettes per day. Exclusion criteria included substantial comorbid drug or alcohol problems and people who lacked capacity to consent at the time of recruitment. Using computer-generated random numbers, participants were randomly assigned (1:1) to a bespoke smoking cessation intervention or to usual care. Participants, mental health specialists, and primary care physicians were unmasked to assignment. The bespoke smoking cessation intervention consisted of behavioural support from a mental health smoking cessation practitioner and pharmacological aids for smoking cessation, with adaptations for people with severe mental illness-such as, extended pre-quit sessions, cut down to quit, and home visits. Access to pharmacotherapy was via primary care after discussion with the smoking cessation specialist. Under usual care participants were offered access to local smoking cessation services not specifically designed for people with severe mental illnesses. The primary endpoint was smoking cessation at 12 months ascertained via carbon monoxide measurements below 10 parts per million and self-reported cessation for the past 7 days. Secondary endpoints were biologically verified smoking cessation at 6 months; number of cigarettes smoked per day, Fagerström Test for Nicotine Dependence (FTND) and Motivation to Quit (MTQ) questionnaire; general and mental health functioning determined via the Patient Health Questionnaire-9 (PHQ-9), the Generalised Anxiety Disorder-7 (GAD-7) questionnaire, and 12-Item Short Form Health Survey (SF-12); and body-mass index (BMI). This trial was registerd with the ISRCTN registry, number ISRCTN72955454, and is complete. Findings: Between Oct 7, 2015, and Dec 16, 2016, 526 eligible patients were randomly assigned to the bespoke smoking cessation intervention (n=265) or usual care (n=261). 309 (59%) participants were male, median age was 47·2 years (IQR 36·3-54·5), with high nicotine dependence (mean 24 cigarettes per day [SD 13·2]), and the most common severe mental disorders were schizophrenia or other psychotic illness (n=343 [65%]), bipolar disorder (n=115 [22%]), and schizoaffective disorder (n=66 [13%]). 234 (88%) of intervention participants engaged with the treatment programme and attended 6·4 (SD 3·5) quit smoking sessions, with an average duration of 39 min (SD 17; median 35 min, range 5-120). Verified quit data at 12 months were available for 219 (84%) of 261 usual care and 223 (84%) of 265 intervention participants. The proportion of participants who had quit at 12 months was higher in the intervention group than in the usual care group, but non-significantly (34 [15%] of 223 [13% of those assigned to group] vs 22 [10%] of 219 [8% of those assigned to group], risk difference 5·2%, 95% CI -1·0 to 11·4; odds ratio [OR] 1·6, 95% CI 0·9 to 2·9; p=0·10). The proportion of participants who quit at 6 months was significantly higher in the intervention group than in the usual care group (32 [14%] of 226 vs 14 [6%] of 217; risk difference 7·7%, 95% CI 2·1 to 13·3; OR 2·4, 95% CI 1·2 to 4·6; p=0·010). The incidence rate ratio for number of cigarettes smoked per day at 6 months was 0·90 (95% CI 0·80 to 1·01; p=0·079), and at 12 months was 1·00 (0·89 to 1·13; p=0·95). At both 6 months and 12 months, the intervention group was non-significantly favoured in the FTND (adjusted mean difference 6 months -0·18, 95% CI -0·53 to 0·17, p=0·32; and 12 months -0·01, -0·39 to 0·38, p=0·97) and MTQ questionnaire (adjusted mean difference 0·58, -0·01 to 1·17, p=0·056; and 12 months 0·64, 0·04 to 1·24, p=0·038). The PHQ-9 showed no difference between the groups (adjusted mean difference at 6 months 0·20, 95% CI -0·85 to 1·24 vs 12 months -0·12, -1·18 to 0·94). For the SF-12 survey, we saw evidence of improvement in physical health in the intervention group at 6 months (adjusted mean difference 1·75, 95% CI 0·21 to 3·28), but this difference was not evident at 12 months (0·59, -1·07 to 2·26); and we saw no difference in mental health between the groups at 6 or 12 months (adjusted mean difference at 6 months -0·73, 95% CI -2·82 to 1·36, and 12 months -0·41, -2·35 to 1·53). The GAD-7 questionnaire showed no difference between the groups (adjusted mean difference at 6 months -0·32 95% CI -1·26 to 0·62 vs 12 months -0·10, -1·05 to 0·86). No difference in BMI was seen between the groups (adjusted mean difference 6 months 0·16, 95% CI -0·54 to 0·85; 12 months 0·25, -0·62 to 1·13). Interpretation: This bespoke intervention is a candidate model of smoking cessation for clinicians and policy makers to address high prevalence of smoking. The incidence of quitting at 6 months shows that smoking cessation can be achieved, but the waning of this effect by 12 months means more effort is needed for sustained quitting. Funding: National Institute for Health Research Health Technology Assessment Programme.

The lancet. Psychiatry · randomised controlled trial · 134 citationsread the source →

A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial.

Background: The OL@-OR@ mobile health programme was co-designed with Māori and Pasifika communities in New Zealand, to support healthy lifestyle behaviours. We aimed to determine whether use of the programme improved adherence to health-related guidelines among Māori and Pasifika communities in New Zealand compared with a control group on a waiting list for the programme. Methods: The OL@-OR@ trial was a 12-week, two-arm, cluster-randomised controlled trial. A cluster was defined as any distinct location or setting in New Zealand where people with shared interests or contexts congregated, such as churches, sports clubs, and community groups. Members of a cluster were eligible to participate if they were aged 18 years or older, had regular access to a mobile device or computer, and had regular internet access. Clusters of Māori and of Pasifika (separately) were randomly assigned (1:1) to either the intervention or control condition. The intervention group received the OL@-OR@ mHealth programme (smartphone app and website). The control group received a control version of the app that only collected baseline and outcome data. The primary outcome was self-reported adherence to health-related guidelines, which were measured with a composite health behaviour score (of physical activity, smoking, alcohol intake, and fruit and vegetable intake) at 12 weeks. The secondary outcomes were self-reported adherence to health-related behaviour guidelines at 4 weeks; self-reported bodyweight at 12 weeks; and holistic health and wellbeing status at 12 weeks, in all enrolled individuals in eligible clusters; and user engagement with the app, in individuals allocated to the intervention. Adverse events were not collected. This study is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12617001484336. Findings: Between Jan 24 and Aug 14, 2018, we enrolled 337 Māori participants from 19 clusters and 389 Pasifika participants from 18 clusters (n=726 participants) in the intervention group and 320 Māori participants from 15 clusters and 405 Pasifika participants from 17 clusters (n=725 participants) in the control group. Of these participants, 227 (67%) Māori participants and 347 (89%) Pasifika participants (n=574 participants) in the intervention group and 281 (88%) Māori participants and 369 (91%) Pasifika participants (n=650 participants) in the control group completed the 12-week follow-up and were included in the final analysis. Relative to baseline, adherence to health-related behaviour guidelines increased at 12 weeks in both groups (315 [43%] of 726 participants at baseline to 329 [57%] of 574 participants in the intervention group; 331 [46%] of 725 participants to 369 [57%] of 650 participants in the control group); however, there was no significant difference between intervention and control groups in adherence at 12 weeks (odds ratio [OR] 1·13; 95% CI 0·84-1·52; p=0·42). Furthermore, the proportion of participants adhering to guidelines on physical activity (351 [61%] of 574 intervention group participants vs 407 [63%] of 650 control group participants; OR 1·03, 95% CI 0·73-1·45; p=0·88), smoking (434 [76%] participants vs 501 [77%] participants; 1·12, 0·67-1·87; p=0·66), alcohol consumption (518 [90%] participants vs 596 [92%] participants; 0·73, 0·37-1·44; p=0·36), and fruit and vegetable intake (194 [34%] participants vs 196 [30%] participants; 1·08, 0·79-1·49; p=0·64) did not differ between groups. We found no significant differences between the intervention and control groups in any secondary outcome. 147 (26%) intervention group participants engaged with the OL@-OR@ programme (ie, set at least one behaviour change goal online). Interpretation: The OL@-OR@ mobile health programme did not improve adherence to health-related behaviour guidelines amongst Māori and Pasifika individuals. Funding: Healthier Lives He Oranga Hauora National Science Challenge.

The Lancet. Digital health · randomised controlled trial · 45 citationsread the source →

A web-based, peer-supported self-management intervention to reduce distress in relatives of people with psychosis or bipolar disorder: the REACT RCT.

Background: Relatives caring for people with severe mental health problems find information and emotional support hard to access. Online support for self-management offers a potential solution. Objective: The objective was to determine the clinical effectiveness and cost-effectiveness of an online supported self-management tool for relatives: the Relatives' Education And Coping Toolkit (REACT). Design and setting: This was a primarily online (UK), single-blind, randomised controlled trial, comparing REACT plus a resource directory and treatment as usual with the resource directory and treatment as usual only, by measuring user distress and other well-being measures at baseline and at 12 and 24 weeks. Participants: A total of 800 relatives of people with severe mental health problems across the UK took part; relatives who were aged ≥ 16 years, were experiencing high levels of distress, had access to the internet and were actively seeking help were recruited. Intervention: REACT comprised 12 psychoeducation modules, peer support through a group forum, confidential messaging and a comprehensive resource directory of national support. Trained relatives moderated the forum and responded to messages. Main outcome measure: The main outcome was the level of participants' distress, as measured by the General Health Questionnaire-28 items. Results: Various online and offline strategies, including social media, directed potential participants to the website. Participants were randomised to one of two arms: REACT plus the resource directory (n = 399) or the resource directory only (n = 401). Retention at 24 weeks was 75% (REACT arm, n = 292; resource directory-only arm, n = 307). The mean scores for the General Health Questionnaire-28 items reduced substantially across both arms over 24 weeks, from 40.2 (standard deviation 14.3) to 30.5 (standard deviation 15.6), with no significant difference between arms (mean difference -1.39, 95% confidence interval -3.60 to 0.83; p = 0.22). At 12 weeks, the General Health Questionnaire-28 items scores were lower in the REACT arm than in the resource directory-only arm (-2.08, 95% confidence interval -4.14 to -0.03; p = 0.027), but this finding is likely to be of limited clinical significance. Accounting for missing data, which were associated with higher distress in the REACT arm (0.33, 95% confidence interval -0.27 to 0.93; p = 0.279), in a longitudinal model, there was no significant difference between arms over 24 weeks (-0.56, 95% confidence interval -2.34 to 1.22; p = 0.51). REACT cost £142.95 per participant to design and deliver (£62.27 for delivery only), compared with £0.84 for the resource directory only. A health economic analysis of NHS, health and Personal Social Services outcomes found that REACT has higher costs (£286.77), slightly better General Health Questionnaire-28 items scores (incremental General Health Questionnaire-28 items score adjusted for baseline, age and gender: -1.152, 95% confidence interval -3.370 to 1.065) and slightly lower quality-adjusted life-year gains than the resource directory only; none of these differences was statistically significant. The median time spent online was 50.8 minutes (interquartile range 12.4-172.1 minutes) for REACT, with no significant association with outcome. Participants reported finding REACT a safe, confidential environment (96%) and reported feeling supported by the forum (89%) and the REACT supporters (86%). No serious adverse events were reported. Limitations: The sample comprised predominantly white British females, 25% of participants were lost to follow-up and dropout in the REACT arm was not random. Conclusions: An online self-management support toolkit with a moderated group forum is acceptable to relatives and, compared with face-to-face programmes, offers inexpensive, safe delivery of National Institute for Health and Care Excellence-recommended support to engage relatives as peers in care delivery. However, currently, REACT plus the resource directory is no more effective at reducing relatives' distress than the resource directory only. Future work: Further research in improving the effectiveness of online carer support interventions is required. Trial registration: Current Controlled Trials ISRCTN72019945. Funding: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 32. See the NIHR Journals Library website for further project information.

Health technology assessment (Winchester, England) · randomised controlled trial · 17 citationsread the source →

A multidomain lifestyle intervention to maintain optimal cognitive functioning in Dutch older adults-study design and baseline characteristics of the FINGER-NL randomized controlled trial.

Background: Evidence on the effectiveness of multidomain lifestyle interventions to prevent cognitive decline in older people without dementia is mixed. Embedded in the World-Wide FINGERS initiative, FINGER-NL aims to investigate the effectiveness of a 2-year multidomain lifestyle intervention on cognitive functioning in older Dutch at risk individuals. Methods: Multi-center, randomized, controlled, multidomain lifestyle intervention trial with a duration of 24 months. 1210 adults between 60-79 years old with presence of ≥ 2 modifiable risk factors and ≥ 1 non-modifiable risk factor for cognitive decline were recruited between January 2022 and May 2023 via the Dutch Brain Research Registry and across five study sites in the Netherlands. Participants were randomized to either a high-intensity or a low-intensity intervention group. The multidomain intervention comprises a combination of 7 lifestyle components (physical activity, cognitive training, cardiovascular risk factor management, nutritional counseling, sleep counseling, stress management, and social activities) and 1 nutritional product (Souvenaid®) that could help maintain cognitive functioning. The high-intensity intervention group receives a personalized, supervised and hybrid intervention consisting of group meetings (on-site and online) and individual sessions guided by a trained lifestyle coach, and access to a digital intervention platform that provides custom-made training materials and selected lifestyle apps. The low-intensity intervention group receives bi-monthly online lifestyle-related health advice via the digital intervention platform. Primary outcome is 2-year change on a cognitive composite score covering processing speed, executive function, and memory. Results: Within 17 months, participant recruitment has been successfully completed (N = 1210; mean age: 67.7 years (SD: 4.6); 64% female). Modifiable risk factors commonly present at baseline were physical inactivity (89%), low mental/cognitive activity (50%), low social engagement (39%), hypertension (39%) and high alcohol consumption (39%). The mean body mass index of participants was 28.3 (SD: 4.2) and the total serum cholesterol was 5.4 mmol/L (SD: 1.2). Conclusions: Baseline lifestyle and clinical measurements showed successful recruitment of participants with sufficient potential for prevention. Results of FINGER-NL will provide further insight into the efficacy of a multidomain lifestyle intervention to prevent cognitive decline in older adults. Trial registration: ClinicalTrials.gov (ID: NCT05256199)/2022-01-11.

Alzheimer's research & therapy · randomised controlled trial · 24 citationsread the source →

Effectiveness of Mindfulness Meditation vs Headache Education for Adults With Migraine: A Randomized Clinical Trial.

Importance: Migraine is the second leading cause of disability worldwide. Most patients with migraine discontinue medications due to inefficacy or adverse effects. Mindfulness-based stress reduction (MBSR) may provide benefit. Objective: To determine if MBSR improves migraine outcomes and affective/cognitive processes compared with headache education. Design, setting, and participants: This randomized clinical trial of MBSR vs headache education included 89 adults who experienced between 4 and 20 migraine days per month. There was blinding of participants (to active vs comparator group assignments) and principal investigators/data analysts (to group assignment). Interventions: Participants underwent MBSR (standardized training in mindfulness/yoga) or headache education (migraine information) delivered in groups that met for 2 hours each week for 8 weeks. Main outcomes and measures: The primary outcome was change in migraine day frequency (baseline to 12 weeks). Secondary outcomes were changes in disability, quality of life, self-efficacy, pain catastrophizing, depression scores, and experimentally induced pain intensity and unpleasantness (baseline to 12, 24, and 36 weeks). Results: Most participants were female (n = 82, 92%), with a mean (SD) age of 43.9 (13.0) years, and had a mean (SD) of 7.3 (2.7) migraine days per month and high disability (Headache Impact Test-6: 63.5 [5.7]), attended class (median attendance, 7 of 8 classes), and followed up through 36 weeks (33 of 45 [73%] of the MBSR group and 32 of 44 [73%] of the headache education group). Participants in both groups had fewer migraine days at 12 weeks (MBSR: -1.6 migraine days per month; 95% CI, -0.7 to -2.5; headache education: -2.0 migraine days per month; 95% CI, -1.1 to -2.9), without group differences (P = .50). Compared with those who participated in headache education, those who participated in MBSR had improvements from baseline at all follow-up time points (reported in terms of point estimates of effect differences between groups) on measures of disability (5.92; 95% CI, 2.8-9.0; P < .001), quality of life (5.1; 95% CI, 1.2-8.9; P = .01), self-efficacy (8.2; 95% CI, 0.3-16.1; P = .04), pain catastrophizing (5.8; 95% CI, 2.9-8.8; P < .001), depression scores (1.6; 95% CI, 0.4-2.7; P = .008), and decreased experimentally induced pain intensity and unpleasantness (MBSR group: 36.3% [95% CI, 12.3% to 60.3%] decrease in intensity and 30.4% [95% CI, 9.9% to 49.4%] decrease in unpleasantness; headache education group: 13.5% [95% CI, -9.9% to 36.8%] increase in intensity and an 11.2% [95% CI, -8.9% to 31.2%] increase in unpleasantness; P = .004 for intensity and .005 for unpleasantness, at 36 weeks). One reported adverse event was deemed unrelated to study protocol. Conclusions and relevance: Mindfulness-based stress reduction did not improve migraine frequency more than headache education, as both groups had similar decreases; however, MBSR improved disability, quality of life, self-efficacy, pain catastrophizing, and depression out to 36 weeks, with decreased experimentally induced pain suggesting a potential shift in pain appraisal. In conclusion, MBSR may help treat total migraine burden, but a larger, more definitive study is needed to further investigate these results. Trial registration: ClinicalTrials.gov Identifier: NCT02695498.

JAMA internal medicine · randomised controlled trial · 132 citationsread the source →

Effect of a stepped-care intervention delivered by lay health workers on major depressive disorder among primary care patients in Nigeria (STEPCARE): a cluster-randomised controlled trial.

Background: Little is known about how to scale up care for depression in settings where non-physician lay workers constitute the bulk of frontline providers. We aimed to compare a stepped-care intervention package for depression with usual care enhanced by use of the WHO Mental Health Gap Action Programme intervention guide (mhGAP-IG). Methods: We did a cluster-randomised trial in primary care clinics in Ibadan, Nigeria. Eligible clinics were those with adequate staffing to provide various 24-h clinical services and with regular physician supervision. Clinics (clusters), anonymised and stratified by local government area, were randomly allocated (1:1) with a computer-generated random number sequence to one of two groups: an intervention group in which patients received a stepped-care intervention (eight sessions of individual problem-solving therapy, with an extra two to four sessions if needed) plus enhanced usual care, and a control group in which patients received enhanced usual care only. Patients from enrolled clinics could participate if they were aged 18 years or older, not pregnant, and had moderate to severe depression (scoring ≥11 on the nine-item patient health questionnaire [PHQ-9]). The primary outcome was the proportion of patients with remission of depression at 12 months (a score of ≤6 on the PHQ-9, with assessors masked to group allocation) in the intention-to-treat population. This trial is registered with the International Standard Randomised Controlled Trials Number registry (ISRCTN46754188) and is completed. Findings: 35 of 97 clinics approached were eligible and agreed to participate, of which 18 were allocated to the intervention group and 17 to the control group. 1178 patients (631 [54%] in the intervention group and 547 [46%] in the control group) were recruited between Dec 2, 2013, and June 29, 2015, among whom 976 (83%) were female and baseline mean PHQ-9 score was 13·7 (SD 2·6). Of the 562 (89%) patients in the intervention group and 473 (86%) in the control group who completed 12-month follow-up, similar proportions in each group had remission of depression (425 [76%] in the intervention group vs 366 [77%] in the control group; adjusted odds ratio 1·0 [95% CI 0·70-1·40]). At 12 months, 17 (3%) deaths, one (<1%) psychotic illness, and one (<1%) case of bipolar disorder in the intervention group, and 16 deaths (3%) and one (<1%) case of bipolar disorder in the control group were recorded. No adverse events were judged to be related to the study procedures. Interpretation: For patients with moderate to severe depression receiving care from non-physician primary health-care workers in Nigeria, a stepped-care, problem-solving intervention combined with enhanced usual care is similarly effective to enhanced usual care alone. Enhancing usual care with mhGAP-IG might provide simple and affordable approach to scaling up depression care in sub-Saharan Africa. Funding: UK Medical Research Council.

The Lancet. Global health · randomised controlled trial · 49 citationsread the source →

The impact of a multilevel childhood obesity prevention intervention on healthful food acquisition, preparation, and fruit and vegetable consumption on African-American adult caregivers.

Objective: To evaluate the secondary impact of a multilevel, child-focused, obesity intervention on food-related behaviours (acquisition, preparation, fruit and vegetable (FV) consumption) on youths' primary caregivers. Design: B'More Healthy Communities for Kids (BHCK) group-randomized controlled trial promoted access to healthy foods and food-related behaviours through wholesaler and small store strategies, peer mentor-led nutrition education aimed at youths, and social media and text messaging targeting their adult caregivers. Measures included caregivers' (n 516) self-reported household food acquisition frequency for FV, snacks and grocery items over 30 d, and usual FV consumption in a sub-sample of 226 caregivers via the NCI FV Screener. Hierarchical models assessed average treatment effects (ATE). Treatment-on-the-treated-effect (TTE) analyses evaluated correlation between behavioural change and exposure to BHCK. Exposure scores at post-assessment were based on self-reported viewing of BHCK materials and participating in activities. Setting: Thirty Baltimore City low-income neighbourhoods, USA.ParticipantsAdult caregivers of youths aged 9-15 years. Results: Of caregivers, 90·89 % were female; mean age 39·31 (sd 9·31) years. Baseline mean (sd) intake (servings/d) was 1·30 (1·69) fruits and 1·35 (1·05) vegetables. In ATE, no significant intervention effect was found on caregivers' food-related behaviours. In TTE, each point increase in BHCK exposure score (range: 0-6·9) increased caregivers' daily fruit consumption by 0·2 servings (0·24 (se 0·11); 95 % CI 0·04, 0·47). Caregivers reporting greater social media exposure tripled their daily fruit intake (3·16 (se 0·92); 95 % CI 1·33, 4·99) and increased their frequency of unhealthy food purchasing v. baseline. Conclusions: Child-focused community-based nutrition interventions may also benefit family members' fruit intake. Child-focused interventions should involve adult caregivers and intervention effects on family members should be assessed. Future multilevel studies should consider using social media to improve reach and engage caregiver participants.

Public health nutrition · randomised controlled trial · 20 citationsread the source →

Promoting school climate and health outcomes with the SEHER multi-component secondary school intervention in Bihar, India: a cluster-randomised controlled trial.

Background: School environments affect health and academic outcomes. With increasing secondary school retention in low-income and middle-income countries, promoting quality school social environments could offer a scalable opportunity to improve adolescent health and wellbeing. Methods: We did a cluster-randomised trial to assess the effectiveness of a multi-component whole-school health promotion intervention (SEHER) with integrated economic and process evaluations in grade 9 students (aged 13-14 years) at government-run secondary schools in the Nalanda district of Bihar state, India. Schools were randomly assigned (1:1:1) to three groups: the SEHER intervention delivered by a lay counsellor (the SEHER Mitra [SM] group), the SEHER intervention delivered by a teacher (teacher as SEHER Mitra [TSM] group), and a control group in which only the standard government-run classroom-based life-skills Adolescence Education Program was implemented. The primary outcome was school climate measured with the Beyond Blue School Climate Questionnaire (BBSCQ). Students were assessed at the start of the academic year (June, 2015) and again 8 months later at the end of the academic year (March, 2016) via self-completed questionnaires. This study is registered with ClinicalTrials.gov, number NCT02484014. Findings: Of the 112 eligible schools in the Nalanda district, 75 were randomly selected to participate in the trial. We randomly assigned 25 schools to each of the three groups. One school subsequently dropped out of the TSM group, leaving 24 schools in this group. The baseline survey included a total of 13 035 participants, and the endpoint survey included 14 414 participants. Participants in the SM-delivered intervention schools had substantially higher school climate scores at endpoint survey than those in the control group (BBSCQ baseline-adjusted mean difference [aMD] 7·57 [95% CI 6·11-9·03]; effect size 1·88 [95% CI 1·44-2·32], p<0·0001) and the TSM-delivered intervention (aMD 7·57 [95% CI 6·06-9·08]; effect size 1·88 [95% CI 1·43-2·34], p<0·0001). There was no effect of the TSM-delivered intervention compared with control (aMD -0·009 [95% CI -1·53 to 1·51], effect size 0·00 [95% CI -0·45 to 0·44], p=0·99). Compared with the control group, participants in the SM-delivered intervention schools had moderate to large improvements in the secondary outcomes of depression (aMD -1·23 [95% CI -1·89 to -0·57]), bullying (aMD -0·91 [95% CI -1·15 to -0·66]), violence victimisation (odds ratio [OR] 0·62 [95% CI 0·46-0·84]), violence perpetration (OR 0·68 [95% CI 0·48-0·96]), attitude towards gender equity (aMD 0·41 [95% CI 0·21-0·61]), and knowledge of reproductive and sexual health (aMD 0·29 [95% CI 0·06-0·53]). Similar results for these secondary outcomes were noted for the comparison between SM-delivered intervention schools and TSM-delivered intervention schools (depression: aMD -1·23 [95% CI -1·91 to -0·55]; bullying: aMD -0·83 [95% CI -1·08 to -0·57]; violence victimisation: OR 0·49 [95% CI 0·35-0·67]; violence perpetration: OR 0·49 [95% CI 0·34-0·71]; attitude towards gender equity: aMD 0·23 [95% CI 0·02-0·44]; and knowledge of reproductive and sexual health: aMD 0·22 [95% CI -0·02 to 0·47]). However, no effects on these secondary outcomes were observed for the TSM-delivered intervention schools compared with the control group (depression: aMD -0·03 [95% CI -0·70 to 0·65]; bullying: aMD -0·08 [95% CI -0·34 to 0·18]; violence victimisation: OR 1·27 [95% CI 0·93-1·73]; violence perpetration: OR 1·37 [95% CI 0·95-1·95]; attitude towards gender equity: aMD 0·17 [95% CI -0·09 to 0·38]; and knowledge of reproductive and sexual health: aMD 0·06 [95% CI -0·18 to 0·32]). Interpretation: The multi-component whole-school SEHER health promotion intervention had substantial beneficial effects on school climate and health-related outcomes when delivered by lay counsellors, but no effects when delivered by teachers. Future research should focus on the evaluation of the scaling up of the SEHER intervention in diverse contexts and delivery agents. Funding: John D. and Catherine T. MacArthur Foundation, USA and the United Nations Population Fund India Office.

Lancet (London, England) · randomised controlled trial · 121 citationsread the source →

Evidence for improving palliative care at the end of life: a systematic review.

Background: Many persons and their families are burdened by serious chronic illness in late life. How to best support quality of life is an important consideration for care. Purpose: To assess evidence about interventions to improve palliative and end-of-life care. Data sources: English-language citations (January 1990 to November 2005) from MEDLINE, the Database of Abstracts of Reviews of Effects, the National Consensus Project for Quality Palliative Care bibliography, and November 2005 to January 2007 updates from expert reviews and literature surveillance. Study selection: Systematic reviews that addressed "end of life," including terminal illness (for example, advanced cancer) and chronic, eventually fatal illness with ambiguous prognosis (for example, advanced dementia), and intervention studies (randomized and nonrandomized designs) that addressed pain, dyspnea, depression, advance care planning, continuity, and caregiving. Data extraction: Single reviewers screened 24,423 titles to find 6381 relevant abstracts and reviewed 1274 articles in detail to identify 33 high-quality systematic reviews and 89 relevant intervention studies. They synthesized the evidence by using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) classification. Data synthesis: Strong evidence supports treating cancer pain with opioids, nonsteroidals, radionuclides, and radiotherapy; dyspnea from chronic lung disease with short-term opioids; and cancer-associated depression with psychotherapy, tricyclics, and selective serotonin reuptake inhibitors. Strong evidence supports multi component interventions to improve continuity in heart failure. Moderate evidence supports advance care planning led by skilled facilitators who engage key decision makers and interventions to alleviate caregiver burden. Weak evidence addresses cancer-related dyspnea management, and no evidence addresses noncancer pain, symptomatic dyspnea management in advanced heart failure, or short-acting antidepressants in terminal illness. No direct evidence addresses improving continuity for patients with dementia. Evidence was weak for improving caregiver burdens in cancer and was absent for heart failure. Limitations: Variable literature indexing for advanced chronic illness and end of life limited the comprehensiveness of searches, and heterogeneity was too great to do meta-analysis. Conclusion: Strong to moderate evidence supports interventions to improve important aspects of end-of-life care. Future research should quantify these effects and address the generalizability of insights across the conditions and settings of the last part of life. Many critical issues lack high-quality evidence.

Annals of internal medicine · systematic review · 365 citationsread the source →

Geriatric assessment-identified deficits in older cancer patients with normal performance status.

Background: We investigated whether a brief geriatric assessment (GA) would identify important patient deficits that could affect treatment tolerance and care outcomes within a sample of older cancer patients rated as functionally normal (80%-100%) on the Karnofsky performance status (KPS) scale. Methods: Cancer patients aged ≥65 years were assessed using a brief GA that included both professionally and patient-scored KPS and measures of comorbidity, polypharmacy, cognition, function, nutrition, and psychosocial status. Data were analyzed using descriptive statistics and multivariable logistic regression. Results: The sample included 984 patients: mean age was 73 years (range: 65-99 years), 74% were female, and 89% were white. GA was conducted before (23%), during (41%), or after (36%) treatment. Overall, 54% had a breast cancer diagnosis (n = 528), and 46% (n = 456) had cancers at other sites. Moreover, 81% of participants (n = 796) had both professionally and self-rated KPS ≥80, defined as functionally normal, and those patients are the focus of analysis. In this subsample, 550 (69%) had at least 1 GA-identified deficit, 222 (28%) had 1 deficit, 140 (18%) had 2 deficits, and 188 (24%) had ≥3 deficits. Specifically, 43% reported taking ≥9 medications daily, 28% had decreased social activity, 25% had ≥4 comorbidities, 23% had ≥1 impairment in instrumental activities of daily living, 18% had a Timed Up and Go time ≥14 seconds, 18% had ≥5% unintentional weight loss, and 12% had a Mental Health Index score ≤76. Conclusion: Within this sample of older cancer patients who were rated as functionally normal by KPS, GA identified important deficits that could affect treatment tolerance and outcomes.

The oncologist · clinical trial · 171 citationsread the source →

Effect of physical activity on cognitive function in older adults at risk for Alzheimer disease: a randomized trial.

Context: Many observational studies have shown that physical activity reduces the risk of cognitive decline; however, evidence from randomized trials is lacking. Objective: To determine whether physical activity reduces the rate of cognitive decline among older adults at risk. Design and setting: Randomized controlled trial of a 24-week physical activity intervention conducted between 2004 and 2007 in metropolitan Perth, Western Australia. Assessors of cognitive function were blinded to group membership. Participants: We recruited volunteers who reported memory problems but did not meet criteria for dementia. Three hundred eleven individuals aged 50 years or older were screened for eligibility, 89 were not eligible, and 52 refused to participate. A total of 170 participants were randomized and 138 participants completed the 18-month assessment. Intervention: Participants were randomly allocated to an education and usual care group or to a 24-week home-based program of physical activity. Main outcome measure: Change in Alzheimer Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) scores (possible range, 0-70) over 18 months. Results: In an intent-to-treat analysis, participants in the intervention group improved 0.26 points (95% confidence interval, -0.89 to 0.54) and those in the usual care group deteriorated 1.04 points (95% confidence interval, 0.32 to 1.82) on the ADAS-Cog at the end of the intervention. The absolute difference of the outcome measure between the intervention and control groups was -1.3 points (95% confidence interval,-2.38 to -0.22) at the end of the intervention. At 18 months, participants in the intervention group improved 0.73 points (95% confidence interval, -1.27 to 0.03) on the ADAS-Cog, and those in the usual care group improved 0.04 points (95% confidence interval, -0.46 to 0.88). Word list delayed recall and Clinical Dementia Rating sum of boxes improved modestly as well, whereas word list total immediate recall, digit symbol coding, verbal fluency, Beck depression score, and Medical Outcomes 36-Item Short-Form physical and mental component summaries did not change significantly. Conclusions: In this study of adults with subjective memory impairment, a 6-month program of physical activity provided a modest improvement in cognition over an 18-month follow-up period. Trial registration: anzctr.org.au Identifier: ACTRN12605000136606.

JAMA · randomised controlled trial · 1092 citationsread the source →

Efficacy of an outpatient treatment for prolonged grief disorder: a randomized controlled clinical trial.

Background: Abnormal forms of grief, currently referred to as complicated grief or prolonged grief disorder, have been discussed extensively in recent years. While the diagnostic criteria are still debated, there is no doubt that prolonged grief is disabling and may require treatment. To date, few interventions have demonstrated efficacy. Methods: We investigated whether outpatients suffering from prolonged grief disorder (PGD) benefit from a newly developed integrative cognitive behavioural therapy for prolonged grief (PG-CBT). A total of 51 patients were randomized into two groups, stratified by the type of death and their relationship to the deceased; 24 patients composed the treatment group and 27 patients composed the wait list control group (WG). Treatment consisted of 20-25 sessions. Main outcome was change in grief severity; secondary outcomes were reductions in general psychological distress and in comorbidity. Results: Patients on average had 2.5 comorbid diagnoses in addition to PGD. Between group effect sizes were large for the improvement of grief symptoms in treatment completers (Cohen׳s d=1.61) and in the intent-to-treat analysis (d=1.32). Comorbid depressive symptoms also improved in PG-CBT compared to WG. The completion rate was 79% in PG-CBT and 89% in WG. Limitations: The major limitations of this study were a small sample size and that PG-CBT took longer than the waiting time. Conclusions: PG-CBT was found to be effective with an acceptable dropout rate. Given the number of bereaved people who suffer from PGD, the results are of high clinical relevance.

Journal of affective disorders · randomised controlled trial · 84 citationsread the source →

Neural regulation of inflammation: no neural connection from the vagus to splenic sympathetic neurons.

The 'inflammatory reflex' acts through efferent neural connections from the central nervous system to lymphoid organs, particularly the spleen, that suppress the production of inflammatory cytokines. Stimulation of the efferent vagus has been shown to suppress inflammation in a manner dependent on the spleen and splenic nerves. The vagus does not innervate the spleen, so a synaptic connection from vagal preganglionic neurons to splenic sympathetic postganglionic neurons was suggested. We tested this idea in rats. In a preparatory operation, the anterograde tracer DiI was injected bilaterally into the dorsal motor nucleus of vagus and the retrograde tracer Fast Blue was injected into the spleen. On histological analysis 7-9 weeks later, 883 neurons were retrogradely labelled from the spleen with Fast Blue as follows: 89% in the suprarenal ganglia (65% left, 24% right); 11% in the left coeliac ganglion; but none in the right coeliac or either of the superior mesenteric ganglia. Vagal terminals anterogradely labelled with DiI were common in the coeliac but sparse in the suprarenal ganglia, and confocal analysis revealed no putative synaptic connection with any Fast Blue-labelled cell in either ganglion. Electrophysiological experiments in anaesthetized rats revealed no effect of vagal efferent stimulation on splenic nerve activity or on that of 15 single splenic-projecting neurons recorded in the suprarenal ganglion. Together, these findings indicate that vagal efferent neurons in the rat neither synapse with splenic sympathetic neurons nor drive their ongoing activity.

Experimental physiology · 155 citationsread the source →

Perceptions of appropriateness of care among European and Israeli intensive care unit nurses and physicians.

Context: Clinicians in intensive care units (ICUs) who perceive the care they provide as inappropriate experience moral distress and are at risk for burnout. This situation may jeopardize patient quality of care and increase staff turnover. Objective: To determine the prevalence of perceived inappropriateness of care among ICU clinicians and to identify patient-related situations, personal characteristics, and work-related characteristics associated with perceived inappropriateness of care. Design, setting, and participants: Cross-sectional evaluation on May 11, 2010, of 82 adult ICUs in 9 European countries and Israel. Participants were 1953 ICU nurses and physicians providing bedside care. Main outcome measure: Perceived inappropriateness of care, defined as a specific patient-care situation in which the clinician acts in a manner contrary to his or her personal and professional beliefs, as assessed using a questionnaire designed for the study. Results: Of 1651 respondents (median response rate, 93% overall; interquartile range, 82%-100% [medians 93% among nurses and 100% among physicians]), perceived inappropriateness of care in at least 1 patient was reported by 439 clinicians overall (27%; 95% CI, 24%-29%), 300 of 1218 were nurses (25%), 132 of 407 were physicians (32%), and 26 had missing answers describing job title. Of these 439 individuals, 397 reported 445 situations associated with perceived inappropriateness of care. The most common reports were perceived disproportionate care (290 situations [65%; 95% CI, 58%-73%], of which "too much care" was reported in 89% of situations, followed by "other patients would benefit more" (168 situations [38%; 95% CI, 32%-43%]). Independently associated with perceived inappropriateness of care rates both among nurses and physicians were symptom control decisions directed by physicians only (odds ratio [OR], 1.73; 95% CI, 1.17-2.56; P = .006); involvement of nurses in end-of-life decision making (OR, 0.76; 95% CI, 0.60-0.96; P = .02); good collaboration between nurses and physicians (OR, 0.72; 95% CI, 0.56-0.92; P = .009); and freedom to decide how to perform work-related tasks (OR, 0.72; 95% CI, 0.59-0.89; P = .002); while a high perceived workload was significantly associated among nurses only (OR, 1.49; 95% CI, 1.07-2.06; P = .02). Perceived inappropriateness of care was independently associated with higher intent to leave a job (OR, 1.65; 95% CI, 1.04-2.63; P = .03). In the subset of 69 ICUs for which patient data could be linked, clinicians reported received inappropriateness of care in 207 patients, representing 23% (95% CI, 20%-27%) of 883 ICU beds. Conclusion: Among a group of European and Israeli ICU clinicians, perceptions of inappropriate care were frequently reported and were inversely associated with factors indicating good teamwork.

JAMA · cohort or longitudinal · 245 citationsread the source →

Essential Hypertension

HomeCirculationVol. 101, No. 3Essential Hypertension Free AccessOtherPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyRedditDiggEmail Jump toFree AccessOtherPDF/EPUBEssential Hypertension Part I: Definition and Etiology Oscar A. Carretero and Suzanne Oparil Oscar A. CarreteroOscar A. Carretero From the Hypertension and Vascular Research Division, Heart and Vascular Institute, Henry Ford Hospital, Detroit, Mich (O.A.C.), and the Division of Cardiovascular Disease, Vascular Biology and Hypertension Program, University of Alabama School of Medicine, Birmingham (S.O.). and Suzanne OparilSuzanne Oparil From the Hypertension and Vascular Research Division, Heart and Vascular Institute, Henry Ford Hospital, Detroit, Mich (O.A.C.), and the Division of Cardiovascular Disease, Vascular Biology and Hypertension Program, University of Alabama School of Medicine, Birmingham (S.O.). Originally published25 Jan 2000https://doi.org/10.1161/01.CIR.101.3.329Circulation. 2000;101:329–335Essential hypertension remains a major modifiable risk factor for cardiovascular disease (CVD) despite important advances in our understanding of its pathophysiology and the availability of effective treatment strategies. High blood pressure (BP) increases the risk of CVD for millions of people worldwide, and there is evidence that the problem is only getting worse. In the past decade, age-adjusted rates of stroke incidence have risen, and the slope of the age-adjusted rate of decline in coronary disease has leveled off. The incidence of end-stage renal disease and the prevalence of heart failure have also increased. A major contributor to these trends is inadequate control of BP in the hypertensive population. This review of current concepts regarding the definition, etiology, and treatment of essential hypertension is intended to aid the clinician in identifying those individuals at high risk who need to undergo evaluation and treatment, as well as in selecting optimal treatment strategies for hypertensive patients with comorbid conditions and/or target organ damage. The part of the review that deals with the genetic basis of hypertension and the gene/environment interaction that may lead to elevated BP is still a work in progress. Information gained from the Human Genome Project and from ongoing studies of the genetic basis of hypertension both in animal models and human populations may revolutionize the treatment of hypertension by replacing current empirical therapy with more effective, targeted treatments based on the genotype of the patient. Concepts introduced in this review form the basis for such "pharmacogenomic" approaches to antihypertensive therapy. Definition of Essential or Primary HypertensionBP is a quantitative trait that is highly variable1 ; in population studies, BP has a normal distribution that is slightly skewed to the right. There is a strong positive and continuous correlation between BP and the risk of CVD (stroke, myocardial infarction, heart failure), renal disease, and mortality, even in the normotensive range. This correlation is more robust with systolic than with diastolic BP.2 There is no specific level of BP where cardiovascular and renal complications start to occur; thus the definition of hypertension is arbitrary but needed for practical reasons in patient assessment and treatment. The Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC VI) defined and classified hypertension in adults, as shown in Table 1.3 The diagnosis of hypertension is made when the average of 2 or more diastolic BP measurements on at least 2 subsequent visits is ≥90 mm Hg or when the average of multiple systolic BP readings on 2 or more subsequent visits is consistently ≥140 mm Hg. Isolated systolic hypertension is defined as systolic BP ≥140 mm Hg and diastolic BP <90 mm Hg. Individuals with high normal BP tend to maintain pressures that are above average for the general population and are at greater risk for development of definite hypertension and cardiovascular events than the general population. With the use of these definitions, it is estimated that 43 million people in the United States have hypertension or are taking antihypertensive medication, which is ≈24% of the adult population. This proportion changes with (1) race, being higher in blacks (32.4%) and lower in whites (23.3%) and Mexican Americans (22.6%); (2) age, because in industrialized countries systolic BP rises throughout life, whereas diastolic BP rises until age 55 to 60 years and thus the greater increase in prevalence of hypertension among the elderly is mainly due to systolic hypertension; (3) geographic patterns, because hypertension is more prevalent in the southeastern United States; (4) gender, because hypertension is more prevalent in men (though menopause tends to abolish this difference); and (5) socioeconomic status, which is an indicator of lifestyle attributes and is inversely related to the prevalence, morbidity, and mortality rates of hypertension. Essential, primary, or idiopathic hypertension is defined as high BP in which secondary causes such as renovascular disease, renal failure, pheochromocytoma, aldosteronism, or other causes of secondary hypertension or mendelian forms (monogenic) are not present. Essential hypertension accounts for 95% of all cases of hypertension. Essential hypertension is a heterogeneous disorder, with different patients having different causal factors that lead to high BP. Essential hypertension needs to be separated into various syndromes because the causes of high BP in most patients presently classified as having essential hypertension can be recognized. Known Etiological Factors in Essential HypertensionAlthough it has frequently been indicated that the causes of essential hypertension are not known, this is only partially true because we have little information on genetic variations or genes that are overexpressed or underexpressed as well as the intermediary phenotypes that they regulate to cause high BP.4 A number of factors increase BP, including (1) obesity, (2) insulin resistance, (3) high alcohol intake, (4) high salt intake (in salt-sensitive patients), (5) aging and perhaps (6) sedentary lifestyle, (7) stress, (8) low potassium intake, and (9) low calcium intake.56 Furthermore, many of these factors are additive, such as obesity and alcohol intake. In this review, variations in BP that are genetically determined will be called "inherited BP," although we do not know which genes cause BP to vary; we know from family studies that inherited BP can range from low normal BP to severe hypertension. Factors that increase BP, such as obesity and high alcohol and salt intake, will be called "hyperten-sinogenic factors." Some of these factors have inherited, behavioral, and environmental components. Inherited BP could be considered core BP, whereas hypertensinogenic factors cause BP to increase above the range of inherited BPs, thus creating 4 main possibilities: (1) patients who have inherited BP in the optimal category (<120/<80 mm Hg); if 1 or more hypertensinogenic factors are added, BP would probably increase but remain in the normal range (<135/<85 mm Hg) (Figure 1, first 2 columns); (2) patients who have inherited BP in the normal category (≤130/≤85 mm Hg); if 1 or more hypertensinogenic factors are added, BP will probably increase to the high normal range (130 to 139/85 to 89 mm Hg) or to stage 1 of the hypertensive category (140 to 159/90 to 99 mm Hg) (Figure 1, second 2 columns); (3) patients who have inherited BP in the high normal category (130 to 139/85 to 89 mm Hg); if 1 or more hypertensinogenic factors are added, BP will increase to the hypertensive range (≥140/≥90 mm Hg) (Figure 1, third 2 columns); and (4) patients who have inherited BP in the hypertensive range; addition of 1 or more hypertensinogenic factors will make hypertension more severe, changing it from stage 1 to stage 2 or 3 (Figure 1, fourth to sixth 2 columns).Theoretically, in a population unaffected by hypertensinogenic factors, BP will have a normal distribution; it will be skewed to the right and will have a narrow base or less variance (Figure 2, continuous line). When 1 hypertensinogenic factor is added to this population, such as increased body mass, one would expect the normal distribution curve to be further skewed to the right; consequently the base will be wider (more variance) and the curve will be flatter (Figure 2, broken line). If a second hypertensinogenic factor such as alcohol intake is added to increased body mass, the curve will be skewed more to the right and the variance will increase further, with more subjects classified as hypertensive (Figure 2, dotted line).Discovering which genetic variations place BP on the left or right side of the distribution curve is of both theoretical and practical importance because it could help the physician to better treat or cure hypertension.7 Recognition of the hypertensinogenic factors may allow nonpharmacological prevention, treatment, or cure of hypertension. Hypertensinogenic factors such as obesity, insulin resistance, or high alcohol intake also have an important genetic component. Furthermore, there are interactions between genetic and environmental factors (Figure 2) that influence intermediary phenotypes such as sympathetic nerve activity, the renin-angiotensin-aldosterone and renal kallikrein-kinin systems, and endothelial factors, which in turn influence other intermediary phenotypes such as sodium excretion, vascular reactivity, and cardiac contractility. These and many other intermediary phenotypes determine total vascular resistance and cardiac output and, consequently, BP. Recognition of the hypertensinogenic factor(s) and establishing that the patient's hypertension is the result of obesity (either alone or combined with other factors such as insulin resistance or high alcohol intake) or old age instead of essential hypertension may help the physician as well as the patient and his or her family to modify or eliminate these hypertensinogenic and CVD risk factors when possible, which may cure the hypertension or at least facilitate control of BP. When the hypertensinogenic factor cannot be reduced or eliminated, as with systolic hypertension induced by aging (arteriosclerosis), recognition of the underlying cause of high BP will emphasize the need for (1) further studies to determine whether the patient has arteriosclerosis and/or atherosclerosis, the magnitude of the disease, and whether there are occlusive lesions; (2) treatment of the atherosclerosis with lifestyle and dietary changes and lipid-lowering agents if necessary; and (3) pharmacological treatment of systolic hypertension to decrease passive stiffness (arteriosclerosis) of the major central elastic arteries and decrease morbidity and mortality rates. Thus recognition of factors that induce hypertension is not only of theoretical but also of practical importance. In conclusion, as stated by Beilin,8 "it is no longer appropriate to define essential hypertension as a rise in blood pressure without cause," since a number of causes can be clearly identified in most cases of so-called "essential hypertension." As discussed later in more detail, there is clear evidence that changes in lifestyle, including dietary changes that reduce body weight, fat, and alcohol intake and increase potassium and calcium intake,9 as well as exercise,1011 reduce or normalize BP in many patients. Inherited BPThe identification of variant (allelic) genes that contribute to the development of hypertension is complicated by the fact that the 2 phenotypes that determine BP, cardiac output and total peripheral resistance, are controlled by intermediary phenotypes, including the autonomic nervous system, vasopressor/vasodepressor hormones, the structure of the cardiovascular system, body fluid volume and renal function, and many others. Furthermore, these intermediary phenotypes are also controlled by complex mechanisms including BP itself.12 Thus there are many genes that could participate in the development of hypertension. The influence of genes on BP has been suggested by family studies demonstrating associations of BP among siblings and between parents and children. There is a better association among BP values in biological children than in adopted children and in identical as opposed to nonidentical twins. BP variability attributed to all genetic factors varies from 25% in pedigree studies to 65% in twin studies. Furthermore, genetic factors also influence behavioral patterns, which might lead to BP elevation. For example, a tendency toward obesity or alcoholism will be influenced by both genetic and environmental factors; thus the proportion of BP variability caused by inheritance is difficult to determine and may vary in different populations. Mutations in at least 10 genes have been shown to raise or lower BP through a common pathway by increasing or decreasing salt and water reabsorption by the nephron.1314 The genetic mutations responsible for 3 rare forms of mendelian (monogenic) hypertensive syndromes−glucocorticoid-remediable aldosteronism (GRA), Liddle's syndrome, and apparent mineralocorticoid excess−have been identified, whereas in a fourth, autosomal dominant hypertension with brachydactyly, the gene is not yet identified but has been mapped to chromosome 12 (12p). Subtle variations in one of these genes may also cause some forms of "essential" hypertension. For a review of the mutations that cause a decrease in BP, see Lifton.13Glucocorticoid-Remediable AldosteronismThis is an autosomal dominant form of monogenic hypertension in which aldosterone secretion is regulated by adrenocorticotropic hormone. Glucocorticoid treatment causes BP to decrease and gives the syndrome its name. The genetic mutation that causes GRA has been identified by Lifton14 as a chimeric gene fusing nucleotide sequences of the promoter-regulatory region of 11β-hydroxylase (controlled by adrenocorticotropic hormone) and the structural portion of the aldosterone synthase gene. The chimeric gene results from a meiotic mismatch and unequal crossing over. The patients are usually thought to have primary aldosteronism because they exhibit volume expansion, metabolic alkalosis with hypokalemia, low plasma renin, and high aldosterone. Most of the patients first described as having GRA showed severe hypertension and died prematurely from stroke. However, with the development of direct genetic testing, the BP of patients with this syndrome was found to cover a wide range, including normotensive levels.1516 In patients with GRA and normal BP, expression of the chimeric gene may be variable, but because steroid levels are similar in patients with severe and mild hypertension, this seems unlikely. It is also possible that the genetic background of the trait (other than the chimeric mutation), such as high renal kallikrein, places the inherited BP of these subjects in the low or ideal normal range and the mutation causes BP to increase to high normal or hypertensive stage 1. Thus the final BP would be the combined result of the inherited BP (including the genetic mutation) and the increase in BP caused by hypertensinogenic factors such as salt. Liddle's SyndromeThis is an autosomal dominant form of monogenic hypertension that results from mutations in the amiloride-sensitive epithelial sodium channel, leading to increased channel activity.17 The mutations reported to date result in the elimination of 45 to 75 amino acids from the cytoplasmic carboxyl terminus of β- or γ-subunits of the channel; thus Liddle's syndrome is genetically heterogeneous. It is characterized by the early onset of hypertension with hypokalemia and suppression of both plasma renin activity and aldosterone, the latter differentiating this syndrome from primary aldosteronism. Both the hypertension and the hypokalemia vary in severity, raising the possibility that some patients classified as having salt-sensitive essential hypertension actually have Liddle's syndrome.18 It is also possible that high BP in blacks, who are frequently salt-sensitive, is due to a polymorphism in one of the sodium channel genes or in one of the genes of systems that regulate it, causing its activity to increase. Apparent Mineralocorticoid ExcessThis is an autosomal recessive form of monogenic juvenile hypertension that results from a mutation in the renal-specific isoform 11β-hydroxysteroid dehydrogenase gene.19 Normally this enzyme converts cortisol to the inactive metabolite cortisone. In the distal nephron this is important because cortisol and aldosterone have a similar affinity for the mineralocorticoid receptor. The enzymatic deficiency allows the mineralocorticoid receptors in the nephron to be occupied and activated by cortisol, causing sodium and water retention, volume expansion, low renin, low aldosterone, and more importantly, a salt-sensitive form of hypertension. Thus this gene may be a locus for salt-sensitive essential hypertension. Autosomal Dominant Hypertension With BrachydactylyIn this monogenic syndrome, hypertension and brachydactyly are always inherited together (100% cosegregation).4 Affected persons are shorter than nonaffected relatives. The gene for hypertension has been mapped to the short arm of chromosome 12 (12p) in a large Turkish kindred. Two other families with this syndrome have been reported, 1 in Canada and 1 in the United States. In addition, the study of a Japanese child with hypertension and type E brachydactyly has allowed the area on 12p containing the gene mutation to be pinpointed further, although the gene responsible for this syndrome has not yet been cloned. Unlike the other 3 autosomal forms of hypertension, BP is not affected by volume expansion and the underlying mechanism is not known. Thus identification of the gene responsible may help clarify some of the genetic alterations in essential hypertension. Essential or Primary HypertensionThe genetic alterations responsible for inherited "essential" hypertension remain largely unknown.4 Results from family studies suggest several possible intermediary phenotypes (genetic traits) that may be related to inherited high BP, such as high sodium-lithium countertransport, low urinary kallikrein excretion, high fasting plasma insulin concentrations, high-density LDL subfractions, fat pattern index, and body mass index (BMI).12 Jeunemaitre et al2021 first reported a polymorphism in the angiotensinogen gene linked with essential hypertension in hypertensive siblings from Utah and France. This polymorphism consists of a substitution of thymidine for cytosine in nucleotide 704, which causes substitution of methionine for threonine at position 235 (M235T) and is associated with increased concentrations of plasma angiotensinogen. This variant appears to be in tight linkage disequilibrium with a promoter mutation in which adenine replaces guanine (-6A) upstream from the initiation side of transcription.22 Tests of promoter activity suggest that this nucleotide substitution increases the rate of gene transcription, which may explain the higher angiotensinogen concentration found in subjects with the variant M235T.22 Many studies have been published on various racial groups with regard to the association between allelic variations in angiotensinogen and hypertension.23 However, these variations explain only a small part of the BP variation (≈6%). Furthermore, plasma angiotensinogen concentrations, though higher in patients with the polymorphism, clearly overlap with normotensive patients. Polymorphisms and mutations in other genes such as angiotensin-converting enzyme, β2-adrenergic receptor, α-adducin, angiotensinase C, renin-binding protein, G-protein β3-subunit, atrial natriuretic factor, and the insulin receptor have also been linked to the development of essential hypertension; however, most of them show a weak association if any, and most of these studies need further confirmation. Thus these gene alterations will not be discussed here because they go beyond the scope of this review (see Luft4 ).Hypertensinogenic FactorsThere is evidence that obesity, insulin resistance, high alcohol intake, high salt intake, a sedentary lifestyle, stress, dyslipidemia, and low potassium or calcium intake increase BP in susceptible subjects. Here we will briefly discuss obesity and insulin resistance; other hypertensinogenic factors will be discussed in the section "Lifestyle Modification."Obesity and Insulin ResistanceObesity, and obesity, is the main hypertensinogenic It was estimated in the study that is associated with a mm Hg increase in systolic is also the cause of insulin resistance, left and Thus obesity is an important cardiovascular its incidence and prevalence are in most industrialized and in the United States has The between BP and body fat is not to the but is continuous throughout the range of body A direct association between hypertension and in by the in has been in and population studies from early to old A of is considered normal or whereas a of to with increases the risk of high BP by and the risk of insulin resistance by Thus insulin resistance is in many patients with obesity and hypertension. The mechanism by which obesity BP is not but increased is associated with an increase in plasma volume and cardiac both these alterations and BP can be by in both normotensive and hypertensive even when sodium intake is BP in is and fasting insulin is the of this In these BP by 10 mm Hg changing from 2 on a to a When some of these subjects by BP by 10 mm Hg and salt was no longer present. The that sodium fasting plasma plasma aldosterone, and plasma the that BP is to dietary sodium and that this may be due to the combined of and increased activity of the sympathetic nervous It is not clear whether body fat by is a factor because in for 1 3 BP, and this decrease was mainly in those who high fasting insulin and insulin levels in to In this study was not a factor because the subjects on a and actually gained an average of the which that plasma insulin by a different mechanism than of body These studies can be as that high plasma insulin causes salt and that decreasing insulin resistance by or BP. Furthermore, hypertensive subjects are more to exhibit insulin resistance than normotensive the other insulin by has a In subjects with hypertension there is resistance to the of insulin on However, in addition to this metabolic insulin increases both sympathetic nerve activity and sodium and water retention, and it could be that the hypertension is due to the of resistance to these secondary of factor and a that have also been in the of hypertension. although the mechanisms by which obesity and insulin resistance increase BP remain it is clear that these increases in BP are on the inherited of of the evaluation are to determine the and of target organ and for specific causes of hypertension hypertensinogenic factors and other CVD risk factors; and the patient to facilitate the of therapy and define and of BP by the is the most important part of the evaluation and of the patient and be in a 2) with the use of and A is a or a to an arm Two or 3 measurements be at and at least 2 be allowed between The diastolic is at the level when of BP by patients or family and/or BP the diagnosis and the of hypertension. BP values the are lower and better with target organ than BP measurements by of BP has several including hypertension from hypertension that only in the the to antihypertensive to treatment by the patient a in his or her and by the need for BP or of BP is for many patients with high BP, those who to be to antihypertensive A of or BP measurements is that and BP be and that and in to BP be and be and a in all patients The assessment the described in Table It help to known, causes of high the or of target organ and and other CVD or comorbid conditions that might or Tests and only blood blood fasting total and high-density or and a indicated in patients for the diagnosis of secondary hypertension and/or comorbid conditions urinary protein, of fasting and plasma renin is Part of a Part of this will be published in the 1, of 1. of hypertensinogenic factors such as obesity and alcohol intake on systolic and diastolic BP the stage of inherited BP to without the of the hypertensinogenic with normal or high normal inherited BP hypertensive stage 1 when BP is increased by a hypertensinogenic In patients with inherited hypertension in 1 to hypertension more severe when hypertensinogenic factors are among genetic and environmental factors in the development of hypertension. side of environmental factors and multiple genes responsible for high BP and intermediary The result of these intermediary phenotypes is blood pressure with a normal distribution skewed to the right. the theoretical BP of the population that is not affected by hypertensinogenic factors; area systolic BP in the hypertensive range. and dotted populations in which 1 or 2 hypertensinogenic factors high alcohol intake) have been that in these 2 populations the distribution are to the right and the number of hypertensive individuals is increased when hypertensinogenic factors are Table 1. and of Blood Pressure mm mm 1 2 3 systolic a patient's systolic and

Circulation · review · 1085 citationsread the source →

Mental health aspects of pandemics with special reference to COVID-19

Pandemics are large-scale outbreak of disease that spreads rapidly, afflicting many persons simultaneously across multiple countries.[1] History tells us that as humans spread across the globe so did infections. Infections have been our constant companion since antiquity. Hunters and gatherers formed tribes that turned to farming and formed villages which gradually advanced to metropolis. Urbanization brought residents into denser neighborhoods, which combined with increasing populations are placing increasing pressure on the environment. Catastrophic pandemics have been occurring since antiquity and are frequently mentioned in ancient texts. Pandemics are associated with death, destruction, and devastation. Not surprisingly, pandemics are associated with long-term psychological consequences. A brief estimate of the effects of some of these pandemics is given below. Antonine plague (AD 165) The Antonine plague (the Plague of Galen) began in the far east. Soldiers returning to Rome from the far east brought back the infection which then spread throughout the Roman Empire. The pandemic killed about five million people. Plague of Justinian (541–542) The Justinian Plague (bubonic plague) started in central Africa and spread to Egypt and then hit the Byzantine Empire and many cities around the Mediterranean Sea, spreading with ease via a large number of ships, usually maintained in unhygienic condition, arriving into the ports. The plague killed about half the population of Europe, about 25 million people. Japanese small pox epidemic (735–737) The Japanese small pox epidemic affected most of Japan. As a consequence of this epidemic, approximately 1/3rd of the entire Japanese population (about 1 million) perished.[2] The Black Death (1346–1353) The Black Death or “The Plague” is the first pandemic about which reliable information is available. This pandemic of bubonic plague originated in China in 1334, spread through central Asia and northern India following the Silk Road, and reached Sicily in 1347. Over the next 5 years, it spread throughout Europe, Russia, and the Middle East. The mortality of untreated bubonic plague is close to 70%.[3] Over 50 years, the Black Death caused about 100 million deaths.[4] In subsequent centuries, the plague caused several outbreaks through Europe in causing death and destruction but never with the same ferocity as the initial pandemic.[5] Smallpox (1519–1520) The smallpox epidemic affected the native people of Mexico. It was brought by the European invaders. In this epidemic, about 5 million to 8 million people perished.[6] Cocoliztli epidemic (1545 and 1576) The Cocoliztli (probably indigenous hemorrhagic fevers) epidemics that began in 1545 and 1576 were catastrophic and killed about 7 million to 17 million people in the highlands of Mexico.[6] The 17th-century great plagues The 17th-century “great plagues” included the Great Plague of Seville (1647–1652), the Great Plague of London (1665-1666), and the Great Plague of Vienna (1679). A total of 3 million people died due to these plagues. The Third cholera epidemic (1852) The third cholera epidemic had the highest fatality of the epidemics in the 19th century. The pandemic originated in India and spread across the world. Over a million lives were lost due to this pandemic. The third plague pandemic (1855) The third plague pandemic began with the re-emergence of the disease from its wild rodent reservoir in the Yunnan province of China in 1855. From there, the disease advanced to K'unming in 1866, the Gulf of Tonkin in 1867, and the port of Pakhoi (now Pei-hai) in 1882 and Hong Kong in 1894. From there, it spread to ports in all continents by the infected rats traveling the international trade routes on the new steamships. For the next five decades, the pandemic waxed and waned throughout the world and ended in 1959. The third plague pandemic resulted in 15 million deaths, the majority of which were in India.[7] Yellow fever (the late 1800s) Multiple Yellow fever epidemics ravaged the Americas in the late 1800s, the last ending in 1905. Yellow fever claimed over 100,000 American lives. Though exterminated from America, yellow fever continues to ravage countries in the sub-Saharan Africa and tropical South America. Flu (1889–1890) This flu pandemic occurred due to the H3N8 subtype of the influenza virus. The pandemic originated in Russia and thereafter spread across many countries in the northern hemisphere. The spread of this epidemic was facilitated by the arrival of the modern transport infrastructure. The flu resulted in about one million deaths. Sixth cholera pandemic (1910–1911) The sixth cholera pandemic also originated in India. It spread through ships and other means of transport to the Middle East, North Africa, Eastern Europe, and Russia. The pandemic claimed 8,00,000 lives. The “Spanish Flu” pandemic (1918–1920) ”Spanish Flu” Pandemic was caused by the H1N1 influenza virus. It infected more than 25% of the global population. With a mortality rate of 10%–20%, it caused 50 million, possibly 100 million deaths. The Spanish Flu caused more deaths than the Black Death did in a century.[89] Asian flu (1957–1958) The Asian flu was caused by new influenza A (H2N2) virus of avian origin. The influenza outbreak originated from Singapore, spread to Hong Kong and the eastern coast of the USA in the late 1950s and later died out after a vaccine was introduced. This influenza pandemic claimed about 1.1 million lives. Hong Kong flu (1968) The Hong Kong flu was caused by influenza A (H3N2) virus which originated from an avian influenza A virus and killed one million people. It continues to cause seasonal influenza A virus associated with severe illness in older people. HIV pandemic HIV/AIDS unlike all previous and subsequent pandemics is a slowly progressing global pandemic that has over decades affected all the continents and different populations. In addition, due to the lengthy survival of patients, it has brought a host of challenges in its wake. HIV has infected about 74.9 million individuals all over the world and about 32 million have died (end 2018) since 1981. Every year, it continues to cause about one million deaths globally.[10] Severe acute respiratory syndrome (2002–2003) The first pandemic of the 21st century was severe acute respiratory syndrome (SARS) caused by the SARS coronavirus (SARS-CoV). The condition manifested with severe respiratory symptoms and had a mortality of 10%. It began in China in November 2002 and affected fewer than 10,000 individuals in 26 countries. As a result of effective public health preventive measures worldwide, the pandemic was contained by the mid-2003.[11] For the first time during and after the SARS pandemic, the psychiatric aspects were studied all over the world. Valuable information on the psychological effects of an acute infectious pandemic on affected individuals, families, communities, health-care workers, quarantine, survivors of severe illness, etc., was gathered.[812] The H1N1 or “Swine Flu” Pandemic (2009-2010) The Swine flu began in Mexico and affected over 10% of the population of the world. It caused an estimated 20,000 to500,000 deaths.[1314] Because the disease disproportionately affected healthy young adults, often quickly resulting in severe respiratory failure, it was perceived as extremely threatening. However, the final death rate was lower than the death rates of influenza. The initial announcements and warnings by the WHO caused alarm in the general public, but this changed to distrust and disgruntlement as the predicted dire consequences of the pandemic did not materialize.[15] Governments and health agencies were blamed for panic (”panicdemic”) and pushing vaccines without adequate study to enhance the profits of pharmaceutical firms at the cost of the general public (H1N1 vaccines worth 1.5 billion dollars were administered in 2009 in the USA alone).[816] The COVID-19 pandemic The pandemic caused by novel CoV (COVID-19) began in Wuhan in China and has spread to 215 countries. It has already affected 7,000,000 individuals and killed 313,636. The virus is more transmissible than SARS-CoV and has a case fatality rate of 2.3%.[17] A unique feature of this pandemic is the accompanying “infodemic”– an excess of (mis) information on social media and elsewhere – which is a major hazard to mental well-being during this health crisis.[18] PSYCHOLOGICAL FACTORS IN PANDEMICS Despite their periodic occurrence and devastating consequences, surprisingly, pandemics have evoked minimal interest in mental health professionals, though the situation has vastly improved in the past decade. Psychosocial stressors in pandemics Pandemics are almost invariably characterized by ambiguity, misunderstanding, and a feeling of urgency.[19] As the causative agent is usually new, in the early stages of a pandemic, there is widespread ambiguity about the chances and effects of becoming infected, along with lack of information and understanding about the most effective mode of prevention and treatment.[20] Other psychosocial stressors related to pandemics include threats to the health of self and loved ones, lockdowns, social distancing, separation from family and friends, death of loved ones, social isolation due to quarantine, shortages of food and medicines, loss of earnings, closure of educational institutions and industries, and cancellation of functions and festivals.[2122] Importance of psychological factors during pandemics The current methods for combating pandemics are largely behavioral or educational interventions comprising of risk communication, vaccination adherence programs, personal protective measures, and social distancing. Extreme psychological distress related to actual or threatened infection is a significant issue. Psychological factors are also essential for understanding and combating the collective disorderly behavioral patterns displayed by people facing widespread, serious infection. Effects of stressful life events and negative emotions on the immune system Stressful life events and negative emotions suppress the immune system to some degree, resulting in enhanced susceptibility to infection.[23] Although the mechanisms of these effects are not exactly known, research has shown that stressors and negative emotions influence the production of lymphocytes and pro-inflammatory cytokines.[23] On the other hand, psychotherapeutic interventions such as cognitive behavioral therapy by decreasing a person's stress proneness and negative emotions, may reduce stress-related immunosuppression.[24] The frantic chase for quack remedies and traditional therapies A serious threat to the health of self or loved ones can impair the person's ability to make rational decisions.[25] At the beginning of a pandemic, reliable vaccines and medical treatment are often not available. In this scenario, to protect themselves and their loved ones, people in desperation turn to quack remedies and dubious traditional therapies. Traditional remedies for influenza include inhalation of vapors of carbolic acid, wearing necklaces of garlic, and drinking pine tar. Folk remedies for SARS included diets of turnips, vinegar, kimchee, or spicy foods, and even smoking cigarettes, all of which were ineffective. We may add cow's urine to this list. During the SARS pandemic, some people in China hired sorcerers, lit firecrackers, and burned fake money. People take large doses of vitamins or herbal supplements in the hope that this will boost their immunity.[2226] Civil unrest, rioting, and violence Widespread sickness, debility, and death during pandemics evoke prosocial, affiliative, supportive, behaviors in the form of mutual aid such as running community kitchens, ambulance services, or disposal of dead bodies.[27] However, civil unrest or riots have sometimes erupted during pandemics.[28] There are numerous examples of groups of citizens clashing violently with health workers, due to fears that the health workers were harming rather than helping them.[22] During the Ebola outbreak in September 2014, eight health-care workers and journalists reached the Guinean village of Worme to teach the villagers how to protect themselves against Ebola. But, the villagers, believing that the workers were spreaders of the disease, attacked and killed them.[29] Villagers in Zhejiang province of China protesting the local government's SARS policy attacked officials and broke windows and furniture of the local offices.[26] The recent attack on health-care workers in Indore and other parts of India can be added to the list. Psychological reactions to stress, harm, and loss in pandemics The majority of people are resilient to stress, and this may be more true for people from developing countries. Many persons who survive major stressful events do not suffer adverse psychological effects. Experience of the recent past however tells us that the psychological effects of pandemics are often larger than the medical effects. For instance, during the West African Ebola outbreak (2014–2015), the “epidemic of fear” affected more people than the epidemic itself.[2230] Similarly, during the 2003 SARS pandemic, the psychological morbidity greatly exceeded the medical morbidity in terms of both the number and duration of impact.[3132] Reactions of people to the stress of pandemic vary from fear to indifference to fatalism.[33] At one end of the spectrum are people who blatantly disregard the risks and refuse to follow the recommended health behaviors including hygiene practices, social distancing, and vaccination. At the opposite end of the spectrum are people who develop intense anxiety or fear. Psychologically, a moderate level of anxiety motivates people to address health threats, but severe anxiety is incapacitating.[22] Studies conducted during the early stages of the Swine flu pandemic that of a community had significant of American some of anxiety about becoming of residents of that were about the health of their family to were not about the infection measures, and on a People had of fear even at of social media was associated with anxiety and behaviors in people had more fear for the of their in by the included more frequently and to health-care out in and stress symptoms were in in perceived stress in anxiety in in and in of the the were associated with recent stressful life a and of and syndrome were associated with quarantine, more than was associated with perceived stress, and Death of a loved one due to COVID-19 was associated with perceived stress, and During from the infected individuals, health-care workers are also This has manifested in their who are health-care workers, to their psychosocial stressors may or psychiatric including anxiety and stress or loss of loved ones in the pandemic may be by or a to widespread including the deaths of loved ones in the pandemic, may result in As a pandemic the general public to the threat and anxiety is However, in individuals, the adverse psychological effects can be severe and of pandemics The of a pandemic is by an for and from the the of developing a new vaccine is and the vaccine will not be it is the This be by Similarly, the of new is also and without is with against the to stressful as At the media that reliable information about the pandemic is for the general At the beginning of an epidemic, measures to that be time for the medical and pharmaceutical are the The of interventions for rates individuals and the virus are quarantine, social distancing, and the The public health during a pandemic is to the outbreak at the with minimal risk is for this of information by the general public to about to themselves from the infection. During a pandemic, and distrust of This can be by in the media and fake in social and through and is However, this is than in the beginning of a pandemic, there is a of information about the causative agent and its During the CoV pandemic in the media the of the This resulted in public of the government's on the of with a of time and the of symptoms was It was also after a of individuals who did not develop symptoms of the disease develop the disease spread the on this the was first in in of new to the were to for on a the to its during the Black the of spread throughout from also the infected, the and their close to the community spread of the infectious this continues to be a and public health to infectious measures measures that are usually recommended include with and and that are frequently and such as and are to the general public, of is Despite the of that individuals frequently do not follow are not by individuals who themselves as a risk of infection are to to be and to be isolation due to social is also by social closure can the spread of infection. from of due to to The due to is a more that of the The for is that by greatly decreasing at in the will reduce of resulting in a of the of and an to the in India the of COVID-19 was the same as in other countries without a that at this the infection spread from 100 people to million persons in A of the epidemic was predicted in that our health system was As a result of the the time to 8 which us an to our health infrastructure. The of the one was is a it and will not as is by the increasing or has been in countries. The and most have been by by and The USA and the have China Wuhan quarantine, but later it to 15 other with include South and The of are available. was a then it be that in countries that did not the our some countries with did have are in countries that did not even has given against total on from Wuhan a to the consequences of of the along with social on the pandemic. that in to reduce the epidemic and the and be the of social in the by the and then the entire without in the a is to be to a of with people and that COVID-19 is spreading There is even of to the be given the of and the of the of is the not the virus but is more to the people from and reactions to The and total on India due to the COVID-19 pandemic caused to our lives. The loss of over our lives and our may of and The to may in five stages including the and total in their loss of a result of to the new a result of and and hope stages are almost the stages of both are by an of It be that this is not a and the reactions of individuals to a some people will and most people are in these stages of the are not in of and people may even back and the stages the final and most of effects of People severe stress and in isolation may symptoms of psychological stress and and including and is a major of the of some the and to and of this can a of and a mental People with may develop symptoms due to to the stress of persons with psychiatric such as and such as may suffer from an or of This also be due to lack of their invariably to social which to and a general of fear and that may and in to psychiatric The fear of themselves or their loved ones to COVID-19 is a and may a mental in population. The in in and fake on social media to the anxiety and that is to mental Psychological effects of loss of of is one of the most and events a has to from the risk of and disease, the loss of a of or and family loss in an a of in and social It a loss of with an and persons with an has been and may be by a of from has been including the with of for an of time and of which is and the is time the death, for is to to life without the and is on a long-term and the of are and with ability to in and its factors for include loss of and adverse of the and the of different for in the of factors for include social and or A study of people that and of the had and anxiety individuals with anxiety and had such as and However, loss has long-term effects. of the consequences of loss on well-being during 3 to 3 after loss that the to loss is not a and are by a that the of a that on an an after loss and not to even after the which is in with In to multiple patterns of that with this with long-term in the in in to loss was for the majority of individuals to by 1 after of pandemics in A ability to to a pandemic on the and of its institutions and also the and behaviors of its The of an is by of of of of and also the of During the COVID-19 pandemic, that with had the rate of in COVID-19 for population and also the deaths for and these of the and institutions that behaviors that and citizens who the have The psychological reactions of people to pandemics are to and not Reactions of people to the stress of pandemic vary from fear to indifference to At one end of the spectrum are people who blatantly disregard the risks and refuse to follow the recommended health At the opposite end of the spectrum are people who develop intense anxiety or fear. Although the majority of the population are resilient to the stress of many health anxiety and and some develop psychiatric including anxiety and As a pandemic the general public to the threat and anxiety is However, in individuals, the adverse psychological effects can be severe and as a so that the treatment not than the

Industrial Psychiatry Journal · editorial or comment · 33 citationsread the source →

A prospective longitudinal study of the prevalence of post-traumatic stress disorder resulting from childbirth events.

Background: Childbirth has been linked to postpartum impairment. However, controversy exists regarding the onset and prevalence of post-traumatic stress disorder (PTSD) after childbirth, with seminal studies being limited by methodological issues. This longitudinal prospective study examined the prevalence of PTSD following childbirth in a large sample while controlling for pre-existing PTSD and affective symptomatology. Method: Pregnant women in their third trimester were recruited over a 12-month period and interviewed to identify PTSD and anxiety and depressive symptoms during the last trimester of pregnancy, 4-6 weeks postpartum, 12 weeks postpartum and 24 weeks postpartum. Results: Of the 1067 women approached, 933 were recruited into the study. In total, 866 (93%) were retained to 4-6 weeks, 826 (89%) were retained to 12 weeks and 776 (83%) were retained to 24 weeks. Results indicated that, uncontrolled, 3.6% of women met PTSD criteria at 4-6 weeks postpartum, 6.3% at 12 weeks postpartum and 5.8% at 24 weeks postpartum. When controlling for PTSD and partial PTSD due to previous traumatic events as well as clinically significant anxiety and depression during pregnancy, PTSD rates were less at 1.2% at 4-6 weeks, 3.1% at 12 weeks and 3.1% at 24 weeks postpartum. Conclusions: This is the first study to demonstrate the occurrence of full criteria PTSD resulting from childbirth after controlling for pre-existing PTSD and partial PTSD and clinically significant depression and anxiety in pregnancy. The findings indicate that PTSD can result from a traumatic birth experience, though this is not the normative response.

Psychological medicine · 209 citationsread the source →

24-Hour Movement Behaviors and Internalizing and Externalizing Behaviors Among Youth.

Purpose: The Canadian 24-Hour Movement Guidelines for Children and Youth (≥60 minutes of moderate-to-vigorous physical activity per day, ≤2 hours of recreational screen time per day, and 9-11 hours of sleep per night for 5-13 years old) are associated with better physical health, but less is known about how these behaviors are related to mental health. This study examined the association of meeting these guideline recommendations with internalizing and externalizing behaviors among youth. Methods: A large and broadly representative cross-sectional sample of 9- to 11-year-old U.S. youth (N = 11,875) from the Adolescent Brain and Cognitive Development study was analyzed. Internalizing and externalizing behaviors were measured using the Child Behaviour Checklist. Associations were examined using negative binomial regression adjusted for several confounders. Results: Compared to meeting none of the recommendations, meeting recommendations for screen time and sleep but not physical activity was associated with a lower prevalence ratio of total, internalizing, and externalizing behaviors. Meeting two or all three recommendations was more strongly associated with these outcomes than meeting one recommendation or none. The prevalence ratio of the group meeting all three recommendations was .77 (95% confidence interval [CI]: .68-.86) for total problem scores, .78 (95% CI: .68-.89) for internalizing problem scores, and .79 (95% CI: .68-.91) for externalizing problem scores. Conclusions: Meeting the 24-hour movement guidelines was associated with a lower risk of internalizing and externalizing behaviors in youth. These associations were mainly explained by meeting the screen time and sleep duration recommendations.

The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 41 citationsread the source →

Use of rumination and activity monitoring for the identification of dairy cows with health disorders: Part I. Metabolic and digestive disorders.

The objectives of this study were to evaluate (1) the performance of an automated health-monitoring system (AHMS) to identify cows with metabolic and digestive disorders-including displaced abomasum, ketosis, and indigestion-based on an alert system (health index score, HIS) that combines rumination time and physical activity; (2) the number of days between the first HIS alert and clinical diagnosis (CD) of the disorders by farm personnel; and (3) the daily rumination time, physical activity, and HIS patterns around CD. Holstein cattle (n=1,121; 451 nulliparous and 670 multiparous) were fitted with a neck-mounted electronic rumination and activity monitoring tag (HR Tags, SCR Dairy, Netanya, Israel) from at least -21 to 80 d in milk (DIM). Raw data collected in 2-h periods were summarized per 24 h as daily rumination and activity. A HIS (0 to 100 arbitrary units) was calculated daily for individual cows with an algorithm that used rumination and activity. A positive HIS outcome was defined as a HIS of <86 during at least 1 d from -5 to 2 d after CD. Blood concentrations of nonesterified fatty acids, β-hydroxybutyrate, total calcium, and haptoglobin were determined in a subgroup of cows (n=459) at -11±3, -4±3, 0, 3±1, 7±1, 14±1, and 28±1 DIM. The sensitivity of the HIS was 98% [95% confidence interval (CI): 93, 100] for displaced abomasum (n=41); 91% (95% CI: 83, 99) for ketosis (n=54); 89% (95% CI: 68, 100) for indigestion (n=9); and 93% (95% CI: 89, 98) for all metabolic and digestive disorders combined (n=104). Days (mean and 95% CI) from the first positive HIS <86 and CD were -3 (-3.7, -2.3), -1.6 (-2.3, -1.0), -0.5 (-1.5, 0.5), and -2.1 (-2.5, -1.6) for displaced abomasum, ketosis, indigestion, and all metabolic and digestive disorders, respectively. The patterns of rumination, activity, and HIS for cows flagged by the AHMS were characterized by lower levels than for cows without a health disorder and cows not flagged by the AHMS from -5 to 5 d after CD, depending on the disorder and parameter. Differences between cows without health disorders and those flagged by the AHMS for blood markers of metabolic and health status confirmed the observations of the CD and AHMS alerts. The overall sensitivity and timing of the AHMS alerts for cows with metabolic and digestive disorders indicated that AHMS that combine rumination and activity could be a useful tool for identifying cows with metabolic and digestive disorders.

Journal of dairy science · 106 citationsread the source →

Efficacy and safety of empagliflozin in glycogen storage disease type Ib: Data from an international questionnaire.

Purpose: This paper aims to report collective information on safety and efficacy of empagliflozin drug repurposing in individuals with glycogen storage disease type Ib (GSD Ib). Methods: This is an international retrospective questionnaire study on the safety and efficacy of empagliflozin use for management of neutropenia/neutrophil dysfunction in patients with GSD Ib, conducted among the respective health care providers from 24 countries across the globe. Results: Clinical data from 112 individuals with GSD Ib were evaluated, representing a total of 94 treatment years. The median age at start of empagliflozin treatment was 10.5 years (range = 0-38 years). Empagliflozin showed positive effects on all neutrophil dysfunction-related symptoms, including oral and urogenital mucosal lesions, recurrent infections, skin abscesses, inflammatory bowel disease, and anemia. Before initiating empagliflozin, most patients with GSD Ib were on G-CSF (94/112; 84%). At the time of the survey, 49 of 89 (55%) patients previously treated with G-CSF had completely stopped G-CSF, and another 15 (17%) were able to reduce the dose. The most common adverse event during empagliflozin treatment was hypoglycemia, occurring in 18% of individuals. Conclusion: Empagliflozin has a favorable effect on neutropenia/neutrophil dysfunction-related symptoms and safety profile in individuals with GSD Ib.

Genetics in medicine : official journal of the American College of Medical Genetics · 52 citationsread the source →

Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment.

Women are under-represented in research on suicidality to date. Although women have a lower rate of suicide completion than men, due in part to the less-violent methods used, they have a higher rate of suicide attempts. Our group has previously identified genomic (blood gene expression biomarkers) and clinical information (apps) predictors for suicidality in men. We now describe pilot studies in women. We used a powerful within-participant discovery approach to identify genes that change in expression between no suicidal ideation (no SI) and high suicidal ideation (high SI) states (n=12 participants out of a cohort of 51 women psychiatric participants followed longitudinally, with diagnoses of bipolar disorder, depression, schizoaffective disorder and schizophrenia). We then used a Convergent Functional Genomics (CFG) approach to prioritize the candidate biomarkers identified in the discovery step by using all the prior evidence in the field. Next, we validated for suicidal behavior the top-ranked biomarkers for SI, in a demographically matched cohort of women suicide completers from the coroner's office (n=6), by assessing which markers were stepwise changed from no SI to high SI to suicide completers. We then tested the 50 biomarkers that survived Bonferroni correction in the validation step, as well as top increased and decreased biomarkers from the discovery and prioritization steps, in a completely independent test cohort of women psychiatric disorder participants for prediction of SI (n=33) and in a future follow-up cohort of psychiatric disorder participants for prediction of psychiatric hospitalizations due to suicidality (n=24). Additionally, we examined how two clinical instruments in the form of apps, Convergent Functional Information for Suicidality (CFI-S) and Simplified Affective State Scale (SASS), previously tested in men, perform in women. The top CFI-S item distinguishing high SI from no SI states was the chronic stress of social isolation. We then showed how the clinical information apps combined with the 50 validated biomarkers into a broad predictor (UP-Suicide), our apriori primary end point, predicts suicidality in women. UP-Suicide had a receiver-operating characteristic (ROC) area under the curve (AUC) of 82% for predicting SI and an AUC of 78% for predicting future hospitalizations for suicidality. Some of the individual components of the UP-Suicide showed even better results. SASS had an AUC of 81% for predicting SI, CFI-S had an AUC of 84% and the combination of the two apps had an AUC of 87%. The top biomarker from our sequential discovery, prioritization and validation steps, BCL2, predicted future hospitalizations due to suicidality with an AUC of 89%, and the panel of 50 validated biomarkers (BioM-50) predicted future hospitalizations due to suicidality with an AUC of 94%. The best overall single blood biomarker for predictions was PIK3C3 with an AUC of 65% for SI and an AUC of 90% for future hospitalizations. Finally, we sought to understand the biology of the biomarkers. BCL2 and GSK3B, the top CFG scoring validated biomarkers, as well as PIK3C3, have anti-apoptotic and neurotrophic effects, are decreased in expression in suicidality and are known targets of the anti-suicidal mood stabilizer drug lithium, which increases their expression and/or activity. Circadian clock genes were overrepresented among the top markers. Notably, PER1, increased in expression in suicidality, had an AUC of 84% for predicting future hospitalizations, and CSNK1A1, decreased in expression, had an AUC of 96% for predicting future hospitalizations. Circadian clock abnormalities are related to mood disorder, and sleep abnormalities have been implicated in suicide. Docosahexaenoic acid signaling was one of the top biological pathways overrepresented in validated biomarkers, which is of interest given the potential therapeutic and prophylactic benefits of omega-3 fatty acids. Some of the top biomarkers from the current work in women showed co-directionality of change in expression with our previous work in men, whereas others had changes in opposite directions, underlying the issue of biological context and differences in suicidality between the two genders. With this study, we begin to shed much needed light in the area of female suicidality, identify useful objective predictors and help understand gender commonalities and differences. During the conduct of the study, one participant committed suicide. In retrospect, when the analyses were completed, her UP-Suicide risk prediction score was at the 100 percentile of all participants tested.

Molecular psychiatry · 56 citationsread the source →

Neurodevelopmental effects of ante-partum and post-partum antiretroviral exposure in HIV-exposed and uninfected children versus HIV-unexposed and uninfected children in Uganda and Malawi: a prospective cohort study.

Background: Antiretroviral medication during pregnancy and breastfeeding substantially decreases the risk of HIV transmission from mothers to infants, but its effects on the child's neurodevelopment are unknown. This study compared neurodevelopmental outcomes of ante-partum and post-partum antiretroviral exposure in HIV-exposed and uninfected children with HIV-unexposed and uninfected children at ages 12, 24, 48, and 60 months. Methods: For this study, a prospective cohort of HIV-exposed and uninfected children was identified from two research sites in the PROMISE-BF trial (at Blantyre, Malawi, and Kampala, Uganda), in which pregnant HIV-infected mothers were randomly assigned to triple antiretroviral prophylaxis (lopinavir-ritonavir plus either lamivudine and zidovudine or emtricitabine and tenofovir), versus zidovudine alone. Post partum, the mother-infant pairs were randomly assigned to maternal triple antiretroviral treatment or infant nevirapine during breastfeeding. HIV-unexposed and uninfected children matched for age, sex, and socioeconomic background were enrolled at vaccination and well-child clinics at the study sites. We included only children without a history of documented brain infection or injury or substantial malnutrition, and whose mothers were randomly assigned and maintained within their assigned ante-partum and post-partum phases throughout their treatment arm periods. Primary outcomes were the Mullen Scales of Early Learning (MSEL) cognitive composite score at age 12 months, 24 months, and 48 months; and the mental processing index for the Kaufman Assessment Battery for Children, second edition (KABC-II) global score at 48 months and 60 months. Repeated measures were analysed using a linear mixed-effects model controlling for data collection site. Findings: Between Aug 23, 2013, and Dec 17, 2014, we co-enrolled 861 children. For MSEL assessments, 738 were eligible for inclusion at age 12 months, 790 at age 24 months, and 692 at age 48 months. For KABC-II assessments, 685 were eligible for inclusion at age 48 months and 445 at age 60 months. There were no differences in MSEL cognitive composite scores according to exposure at age 12 and 24 months (p=0·19 and 0·24, respectively, for comparison of all groups). At 48 months, MSEL cognitive composite scores were worse for children of mothers who did not remain on triple antiretroviral treatment throughout both the ante-partum and post-partum treatment phases (adjusted means 80·64 [95% CI 77·74-83·54] and 81·34 [78·19-84·48], respectively), compared with those who did remain on triple treatment (adjusted mean 85·93, 95% CI 83·05-88·80; p=0·0486 for the comparison of all groups). The KABC-II composite scores (mental processing index) did not differ at 48 or 60 months according to exposure (p=0·81 and 0·89, respectively, for comparison of all groups). Scores for MSEL and KABC-II for children of mothers on triple antiretrovirals in both the ante-partum and post-partum treatment phases were similar to those for children in the HIV-unexposed and uninfected reference group at all timepoints. Interpretation: Maternal triple antiretroviral exposure during both the ante-partum and post-partum phases did not result in greater developmental risks for the mothers' HIV-exposed and uninfected children through age 60 months, compared with children who were HIV-unexposed and uninfected. This might be because ante-partum triple antiretroviral protection of the health of mothers with HIV during pregnancy might be neuroprotective for the child, and when continued post partum, could enhance the quality of caregiving for the child through better clinical care for the mother. Funding: National Institutes of Health and Eunice Kennedy Shriver National Institute of Child Health and Human Development.

The lancet. HIV · 46 citationsread the source →

Pathophysiology of the risk factors associated with osteoporosis and their correlation to the T-score value in patients with osteopenia and osteoporosis in the United Arab Emirates

INTRODUCTION Osteoporosis is a bone disorder, characterized by loss of bone strength because of an imbalance between the bone resorption and the mechanisms of bone formation, leading to increased fragility and fractures. Pathophysiological mechanisms underlying this disorder include an inadequate formation response during the remodeling process of bone formation, which is an essential factor in osteoporosis pathogenesis. This inadequacy is due to the activation of large numbers of osteoclasts as a response to initiation of hematopoietic precursor cells with failure of normal interaction with the osteoblastic lineage. This will lead to excessive bone resorption that may result in complete loss of trabecular structure and loss of template for new bone formation. The time required for osteoblastic replacement is longer than the resorption phase of bone remodeling by osteoclasts. Therefore, any increase in bone remodeling will lead to damaged architecture and loss of bone mass.[1] Recently, it has been estimated that more than 200 million people worldwide have osteoporosis. On the basis of a statistics from the International Osteoporosis Foundation in 2017, one in five men and one in three women over the age of 50 years will experience fractures during their lifetime because of osteoporosis. Furthermore, it has been found that an osteoporotic fracture occurs every 3s, with the most common fractures occurring at the hip, spine, and wrist.[23] Osteoporotic fractures may be the first manifestation of the disease, which is why it is called a silent disease. Risk factors of osteoporosis, decreased bone mineral density (BMD), and increased fragility fractures may be modifiable or non-modifiable. Among the modifiable factors are low body mass index (BMI), vitamin D deficiency, low calcium intake, excessive caffeine and alcohol consumption, smoking, sedentary life and low physical activity, endocrine disorders (such as estrogen deficiency and insulin-dependent diabetes mellitus or hyperparathyroidism), some drugs (such as corticosteroids), and previous history of fragility fractures. The non-modifiable factors include female gender, family history, race, and early menopause.[45] According to the World Health Organization (WHO) diagnostic criteria, osteoporosis is diagnosed by BMD at the hip or spine, which is below the young normal mean reference population by 2.5 standard deviations (SDs) or more. This is called the T-score, and osteopenia is diagnosed by BMD less than or equal to 1 SD.[6] The guidelines for osteoporosis screening vary greatly in various publications. In general, most organizations recommend that all adults older than 50 years of age with a history of fracture must receive BMD screening.[7] Dual-energy X-ray absorptiometry (DXA) at the hip or spine is the best test for measuring central BMD. An association is present between the T-score values in DXA in patients with osteoporosis or osteopenia and the risk of fractures. A fracture risk assessment tool (FRAX) was designed. It is estimated that for every 1 SD decline in spine BMD, the risk of having a spine fracture increases 2.3 times and the risk of having a hip fracture increases 2.6 times.[89] As the most common bone disease in humans, the prevalence of osteoporosis is steadily increasing due to a growing elderly population, and thus represents a major public health concern with reduced bone strength and a higher risk of fractures.[68] The prevalence of osteoporosis is steadily escalating due to increased life expectancy as a result of developed health services. According to the 2016 WHO report, in the United Arab Emirates (UAE), life expectancy at birth for men was 76 years and for women it was 79 years.[10] The UAE population projection showed that in 2011, 7% of the population were 50 years of age or over and less than 1% were 70 years of age or over. By 2050, it is estimated that 12% of the population will be 50 years or over and 2% will be 70 years or over.[11] MATERIALS AND METHODS Study design The study was performed in accordance with the International Conference on Harmonisation Good Clinical Practice guidelines. Ethical approval number UG-H-18-11-7-10 was obtained from the Research Ethics Committee of the college. The study was conducted on a population sample of national and nonnational people in the UAE. Both men and women were recruited in the study. Data were collected from the patients in six governmental and private hospitals. Research tools A total of 200 male and female participants between the age of 25 and 80 years were recruited in the study. Eighty percent of the sample were women and 20% were men. After obtaining the required consent, each participant was asked to fill a structured questionnaire consisting of 25 questions, which was used as the primary tool for data collection. The questions were formulated both in Arabic and English, it required 3–4min to be completed. BMD of the participants was assessed in the International Radiology Centre and correlated with their data in the questionnaires. DXA scan was used for the measurement of BMD. Data collection and data analysis After ensuring strict confidentiality, data were collected between March 20, 2016 and May 20, 2016. The following information was obtained: Demographic data (gender, age, race, BMI, and occupation) Family history of osteoporosis or osteoporotic fractures Social history and lifestyle, physical activity, and exposure to the sun Dietary habits such as calcium, caffeine, and soft drinks intake Medical history of diseases and medicines. For female participants, number of pregnancies, lactation, and age at menopause were included The following criteria were used to evaluate osteoporosis: Normal BMD: if T-score between +2.5 and –1 Osteopenia: if T-score between –1 and –2.5 Osteoporosis: if T-score below –2.5 The filled questionnaires were coded and data were analyzed statistically using the Statistical Package for the Social Sciences (SPSS) software (version 24; IBM Corporation, Newyork, USA). Spearman’s correlation test was carried out to assess the association between different variables in the study. A P value of less than 0.05 was considered significant. RESULTS Sociodemographic data The sociodemographic background of the study participants is listed in Table 1. A total of 200 participants were included in the study. The control group and the osteoporotic group consisted of 100 participants each, 20% of them were men, whereas 80% of the respondents were women. Table 1: Background demographic data of the respondentsBody mass index The patients with osteoporosis have significantly lower BMI than the control group (P < 0.05). Results showed that 72% of them have a BMI less than 25 kg/m2 (P < 0.05) [Table 2] [Figure 1].Table 2: Body mass index of the respondentsFigure 1: Body mass index (kg/m2) of the respondentsSmoking behavior Regarding smoking behavior, a significant value was evident between smoking and osteoporosis (P < 0.01) as 54% of the patients with osteoporosis were current smokers, whereas 72% of the controls had never smoked before [Table 3] [Figure 2].Table 3: Smoking behavior and intake of milk, coffee, and soft drinks by the respondentsFigure 2: Intake of milk and caffeine and smoking behavior by the respondentsDietary calcium intake The intake of milk and dairy products by the participants was used to assess the dietary calcium intake. The patients with osteoporosis have a significant low calcium intake (P < 0.01), whereas non-osteoporotic control significantly consume more milk and dairy products (P < 0.01). A positive correlation was found between the intake of milk and dairy products and the T-score value of the participants (P < 0.05) [Table 3] [Figures 2 and 3].Figure 3: Correlation between milk intake and T-score in patients with osteoporosisCaffeine consumption Caffeine intake was evaluated in this study by the amount of coffee, tea, or soft drinks consumed by the participants each day. The results showed that the patients with osteoporosis significantly consume more caffeine (P < 0.01). A negative correlation is present between the amount of caffeine intake and T-score value of the participants (P < 0.05) [Table 3] [Figures 2, 4, and 5].Figure 4: Correlation between tea/coffee intake and T-score in patients with osteoporosisFigure 5: Correlation between soft drinks intake and T-score in patients with osteoporosisExercise behavior and exposure to the sun Results showed a significant positive correlation between the duration of exercise and the T-score value of the participants (P < 0.05) [Table 4] [Figure 6].Table 4: Exercise behavior and exposure to sun of the respondentsFigure 6: Correlation between exercise duration and T-score in patients with osteoporosisRegarding the exposure to the sun, the results showed that 96% of the patients with osteoporosis were exposed to the sun for less than 15min, three to four times a week or not exposed at all, whereas most of the normal controls (72%) exposed their bodies to the sun for 16–30min/day, three to four times a week [Table 4] [Figure 7].Figure 7: Sun exposure behavior of the respondentsDiseases and medications Results of the study revealed that 46% of the patients with osteoporosis were diabetic, 42% of them were treated by antidiabetics, 18% had arthritis and 38% had been treated previously by corticosteroids [Table 5].Table 5: Distribution of patients with osteoporosis by their diseases and medicationsNumber of pregnancies and breastfeeding Female participants constituted 80% of the study sample, 75% of the females with osteoporosis were menopausal, 75% of them had three or more pregnancies, and 82.5% of them breastfed their children, whereas these values for the control group participants are 30%, 28%, and 33%, respectively. Results showed a significant positive correlation between the age at menopause and the T-score value of females with osteoporosis (P < 0.05) [Table 6] [Figure 8]. The distribution of patients according to the joint affected by Osteoporosis or Osteopenia is shown in [Figure 9] and [Table 7].Table 6: Distribution of female patients with osteoporosis by number of pregnancies and breastfeedingFigure 8: Correlation between age at menopause and T-score in female patients with osteoporosisFigure 9: Distribution of patients having osteopenia or osteoporosis in wrists, hips, or spineTable 7: Distribution of patients having osteoporosis and/or osteopenia in hips, wrists, and spineDISCUSSION To maintain normal bone structure, a remodeling process that consists of osteoclasts, removing old bone, and osteoblasts, synthesizing new bone, occurs. Hematopoietic progenitors produce osteoclasts, whereas mesenchymal stem cells called marrow stromal fibroblasts produce osteoblasts. This process is controlled by certain circulating hormones, growth factors, and locally produced cytokines through their effects on apoptosis of osteoblasts and osteoclasts. Estrogen deficiency or glucocorticoid excess leads to bone loss because of changes in the production of bone cells. This is caused by the prolongation of the life span of osteoclasts and the shortening of the life span of osteoblasts. On the contrary, drugs that aim to treat or prevent osteoporosis prevent apoptosis of osteoblasts and/or stimulate the apoptosis of osteoclasts.[12] The pathogenesis of osteoporosis is the consequence of various hormonal, genetic, dietary, lifestyle, and physical factors. Genetic factors mainly affect the BMD and bone formation, whereas low levels of estrogen increase parathyroid hormone, and local cytokines are mainly responsible for bone remodeling imbalance.[13] Age and gender In this study, 76% of the patients with osteoporosis were women at or above 50 years of age. Osteoporosis is usually considered a disease of the elderly with low BMD. In a recent study, most of the patients with osteoporosis were in the age groups of 45–49 and 50–54 years.[14] Previous studies showed that women were at an increased risk of developing osteoporosis because of their faulty behavior of physical inactivity, sun-avoidance behavior, low intake of dairy products, and poor diets.[151617] Body mass index The results of this study showed a significant number of patients of osteoporosis with BMI <25 kg/m2, where P < 0.05. Women that have low BMI are at a higher risk of developing osteoporosis. It is reported that one unit change in BMI has a larger effect on the risk of developing osteoporosis than most other modifiable risk factors. To help reduce the risk of osteoporosis, patients should be advised to maintain a weight within the normal range.[1516] The risk of osteoporotic fractures increases in adults who have low BMI of less than 20 kg/m2.[18] On the contrary, patients who are obese (BMI >30 kg/m2) are also at a high risk of developing osteoporosis and fractures because of the risk of repeated falls and the weakness of the skeletal muscles due to loss of its mass as a result of aging.[19] Exercise and physical activity The results of this study showed a significant correlation between the exercise time and the T-score value. Previous studies concluded that physical activity and exercises stimulate skeletal growth and bone strength.[45] Estrogen Estrogen deficiency has a critical effect on the pathogenesis of osteoporosis. The results of this study showed a significant positive correlation between the age at menopause and the T-score value of the female patients. Estrogen has a crucial role in bone formation and physiology. It stimulates the production of T cell cytokines, affects the osteoblastic cell by altering its production of receptor activator of nuclear factor-Kappa B ligand (RANKL) or Osteoprotegerin (OPG), inhibits the differentiation of osteoclasts by direct action, and stimulates the formation of bone performed by osteoblasts and osteocytes, which allows them to enhance their ability to respond to mechanical forces.[2021] Estrogen produces its effect through a specific cell surface receptor called the estrogen receptor alpha (ERα). This receptor binds and then transports estrogen into the nucleus of the cell where certain genes are then activated by the receptor–hormone complex. ERα receptors and estrogen receptor–related receptor alpha (ERRα) are found on the surface of osteoblasts. ERRα may play a supporting role in the regulation of bone cells.[22] Previous studies also suggest that sex hormone–binding globulin may play a significant role in regulating bone cells as well because it facilitates entry of estrogen into cells.[23] Because of the natural drop of estrogen level in postmenopausal women, they are at the highest risk of developing osteoporosis. A previous study showed that it is an increase in bone resorption that might be the driving force for bone loss during estrogen deficiency in postmenopausal women not impaired bone formation as was previously thought.[1] However, other studies indicated that both markers of bone resorption and formation also increased, leading to accelerated bone remodeling at menopause.[2425] Calcium intake and vitamin D Calcium and vitamin D are two pivotal contributors of bone formation and mineralization. The results of this study showed that the patients with osteoporosis have a significant low calcium intake, whereas controls significantly consume more milk and dairy products (P < 0.01). This significant result showed the importance of calcium intake. Results also established a positive correlation between calcium intake and the T-score value of the participants. Vitamin D plays an important role in maintaining calcium homeostasis and bone integrity as it is essential for intestinal calcium absorption.[26] It is estimated that over one billion people around the world have vitamin D deficiency.[2728] Sun exposure is considered as the source of vitamin D, the present results showed a significant value (P < 0.01) as 74% of the patients with osteoporosis exposed their bodies to the sun for 5min or less, three to four times per week, whereas 72% of controls exposed their bodies to the sun for 15–30min, 3 to 4 times a week. A previous study conducted in the UAE showed that 58.2% of the UAE nationals were vitamin D deficient compared to 45% of the patients from other nationalities.[29] In spite of living in sunny areas, such as UAE, Saudi Arabia, and India, young populations have a high prevalence of vitamin D deficiency because of insufficient knowledge and practice of vitamin D and its health implications.[3031] Decreased blood calcium level will lead to secondary hyperparathyroidism. This decrease may result from impaired intestinal calcium absorption due to vitamin D deficiency, aging, or other diseases. Calcitriol, the active form of vitamin D, stimulates the intestinal absorption of calcium and phosphorus. It has an inhibitory effect on the synthesis of parathyroid hormone as well. Therefore, calcitriol deficiency will lead to secondary hyperparathyroidism as well.[32] There is a clear evidence that the risk of having an osteoporotic fracture increases when vitamin D levels are below 50 nmol.[3334] However, a recent study showed that pathological macrophages produced by vitamin D receptor signaling play an important role in the development of myelofibrosis.[35] Smoking The results of this study showed that nicotine has a significant effect on the incidence of osteoporosis (P < 0.01). Smoking has been identified as a modifiable risk factor for low BMD and increased osteoporotic fracture risk.[3637] Smoking behavior should be evaluated when assessing the fracture risk and FRAX.[1638] The role of smoking in decreasing BMD is complicated; smoking is shown to be associated with other risk factors for osteoporosis such as decreased physical activity, low BMI, and poor diet.[38] Nicotine has both direct and indirect effects on BMD. The direct effect is on bone cell proliferation and is described to be biphasic, small doses have a stimulatory effect, whereas toxic large doses have an antiproliferative effect on the proliferation of osteoblasts.[39] This effect on osteoblasts is receptor mediated by the nicotinic acetylcholine receptors, where nicotine in low doses upregulates gene expression of alkaline phosphatase, type 1 collagen, and osteocalcin.[40] Nicotine produces an increased level of tumor necrosis factor α (TNFα) secretion that reduces bone formation by osteoblasts and increases bone resorption by osteoclasts. TNFα has a powerful osteoclastogenic effect through its stimulating effect on RANKL production and by intensifying osteoclasts production.[41] It is strongly supported that RANK/RANKL/OPG systems have a role in regulating bone resorption and the formation of osteoclasts.[42] The main predisposing factor for chronic obstructive pulmonary disease (COPD) has been found to be smoking. The most important factor in managing COPD continues to be the termination of smoking.[43] It has been shown in numerous studies that smokers with COPD have elevated levels of pro-inflammatory cytokines in the form of interleukin-6. In addition, TNFα levels are much higher in COPD smokers than in asymptomatic smokers. This indicates that COPD affects local and systemic inflammatory responses, which in turn affects bone remodeling.[4445] Nicotine has an indirect effect on BMD, which is caused by releasing calcitropic hormones and glucocorticoids, which leads to an increase in bone resorption.[43] Furthermore, smoking has been linked to an increase in the level of cortisol[4446] as well as a decrease in the level of estradiol.[47] Nicotine also harms intestinal calcium absorption, which might lessen the effectiveness of dietary calcium supplements.[48] Also, toxic carcinogenic metabolites of nicotine have also been found to increase osteoclast formation in rats.[49] Moreover, one hip fracture in eight postmenopausal women with osteoporosis is attributable to smoking. This correlation could not be explained by early menopause, low BMI, lower levels of exercise, or by the actions of nicotine on estrogen. This indicates that there is an independent negative effect of nicotine on BMD, which means that smokers lose bone at a faster rate than nonsmokers.[50] CONCLUSION Prevalence of osteoporosis is high in the UAE and is expected to grow due to increased life expectancy and faulty lifestyle of inadequate dietary habits, sun exposure, exercise behavior, and smoking. More intervention should be directed toward changing the modifiable risk factors in the patients with osteoporosis, and more studies should be directed toward osteoporosis in the UAE. Limitations of the study To make the study a polycentric research, it would require greater number of participants from all the emirates of the UAE. Financial support and sponsorship This work is self-funded by the authors. Conflicts of interest There are no conflicts of interest.

Journal of Pharmacy And Bioallied Sciences · 11 citationsread the source →

Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study.

Background: With the ongoing COVID-19 pandemic, growing evidence shows that a considerable proportion of people who have recovered from COVID-19 have long-term effects on multiple organs and systems. A few longitudinal studies have reported on the persistent health effects of COVID-19, but the follow-up was limited to 1 year after acute infection. The aim of our study was to characterise the longitudinal evolution of health outcomes in hospital survivors with different initial disease severity throughout 2 years after acute COVID-19 infection and to determine their recovery status. Methods: We did an ambidirectional, longitudinal cohort study of individuals who had survived hospitalisation with COVID-19 and who had been discharged from Jin Yin-tan Hospital (Wuhan, China) between Jan 7 and May 29, 2020. We measured health outcomes 6 months (June 16-Sept 3, 2020), 12 months (Dec 16, 2020-Feb 7, 2021), and 2 years (Nov 16, 2021-Jan 10, 2022) after symptom onset with a 6-min walking distance (6MWD) test, laboratory tests, and a series of questionnaires on symptoms, mental health, health-related quality of life (HRQoL), return to work, and health-care use after discharge. A subset of COVID-19 survivors received pulmonary function tests and chest imaging at each visit. Age-matched, sex-matched, and comorbidities-matched participants without COVID-19 infection (controls) were introduced to determine the recovery status of COVID-19 survivors at 2 years. The primary outcomes included symptoms, modified British Medical Research Council (mMRC) dyspnoea scale, HRQoL, 6MWD, and return to work, and were assessed in all COVID-19 survivors who attended all three follow-up visits. Symptoms, mMRC dyspnoea scale, and HRQoL were also assessed in controls. Findings: 2469 patients with COVID-19 were discharged from Jin Yin-tan Hospital between Jan 7 and May 29, 2020. 1192 COVID-19 survivors completed assessments at the three follow-up visits and were included in the final analysis, 1119 (94%) of whom attended the face-to-face interview 2 years after infection. The median age at discharge was 57·0 years (48·0-65·0) and 551 (46%) were women. The median follow-up time after symptom onset was 185·0 days (IQR 175·0-197·0) for the visit at 6 months, 349·0 days (337·0-360·0) for the visit at 12 months, and 685·0 days (675·0-698·0) for the visit at 2 years. The proportion of COVID-19 survivors with at least one sequelae symptom decreased significantly from 777 (68%) of 1149 at 6 months to 650 (55%) of 1190 at 2 years (p<0·0001), with fatigue or muscle weakness always being the most frequent. The proportion of COVID-19 survivors with an mMRC score of at least 1 was 168 (14%) of 1191 at 2 years, significantly lower than the 288 (26%) of 1104 at 6 months (p<0·0001). HRQoL continued to improve in almost all domains, especially in terms of anxiety or depression: the proportion of individuals with symptoms of anxiety or depression decreased from 256 (23%) of 1105 at 6 months to 143 (12%) 1191 at 2 years (p<0·0001). The proportion of individuals with a 6MWD less than the lower limit of the normal range declined continuously in COVID-19 survivors overall and in the three subgroups of varying initial disease severity. 438 (89%) of 494 COVID-19 survivors had returned to their original work at 2 years. Survivors with long COVID symptoms at 2 years had lower HRQoL, worse exercise capacity, more mental health abnormality, and increased health-care use after discharge than survivors without long COVID symptoms. COVID-19 survivors still had more prevalent symptoms and more problems in pain or discomfort, as well as anxiety or depression, at 2 years than did controls. Additionally, a significantly higher proportion of survivors who had received higher-level respiratory support during hospitalisation had lung diffusion impairment (43 [65%] of 66 vs 24 [36%] of 66, p=0·0009), reduced residual volume (41 [62%] vs 13 [20%], p<0·0001), and total lung capacity (26 [39%] vs four [6%], p<0·0001) than did controls. Interpretation: Regardless of initial disease severity, COVID-19 survivors had longitudinal improvements in physical and mental health, with most returning to their original work within 2 years; however, the burden of symptomatic sequelae remained fairly high. COVID-19 survivors had a remarkably lower health status than the general population at 2 years. The study findings indicate that there is an urgent need to explore the pathogenesis of long COVID and develop effective interventions to reduce the risk of long COVID.

The Lancet. Respiratory medicine · 462 citationsread the source →

Health and Work in Women and Men in the Welding and Electrical Trades: How Do They Differ?

Objectives: There is little information on how work tasks, demands, and exposures differ between women and men in nominally the same job. This is critical in setting workplace standards that will protect the health of both men and those women moving into less traditional work roles. Information used in setting standards is currently based almost entirely on male workers. This paper describes differences in work and health, and the relation between them, in women and men who have undergone the same trade training for the welding or electrical trades. Method: Four cohorts were established. Two were women across Canada in the welding and electrical trades who had been in an apprenticeship since 2005. Cohorts of men in the same trades during the same period were established in the province of Alberta, Canada. Participants completed a baseline questionnaire at recruitment and were followed up every 6 months to collect detailed information on work carried out and on their health and habits. At the end of the study (up to 5 years for women and up to 3 years for men), the cohort members completed a final questionnaire including questions on mental health, harassment, and gender. Results: The four cohorts comprised 1001 welders (447 female; 554 male) and 885 in the electrical trades (438 female; 447 male). Follow-up information was available for 89%. Women were more likely than men to have had some post-secondary education before starting their trade and were less likely to be living as married or to have a child. More welders smoked, and more men were heavy drinkers. At recruitment, more welders than those in the electrical trades reported rhinitis (sneezing and runny nose), depression, and anxiety. Female welders reported more depression (38%) than male welders (30%), compared to 24% in the electrical trades. At first follow-up, new-onset shoulder pain was more frequent in men and new-onset asthma or wheezing in welders. Within each trade, women reported less variety in tasks. Women welders were less likely to be employed in construction than men, and women were less likely to become industrial electricians. Overall, 54% of women and 46% of men reported never using respiratory protection when welding. In the end-of-study questionnaires received to date, 49% reported bullying or harassment during the apprenticeship, with higher proportions in welding than electrical trades and in women compared with men. Such harassment was reflected in higher anxiety and depression scores. Conclusions: This is the first report on these four cohorts and demonstrates the capacity for detailed analysis of the differences in exposure and new-onset occupationally related ill-health. While women and men in the same trades appear to be doing broadly similar work, and to have similar patterns on health at the first follow-up, there are some significant differences in the types of employment and variety of tasks. The very detailed information collected will allow more precise estimates of exposures to be correlated with health outcomes at the end of the follow-up period.

Annals of work exposures and health · 24 citationsread the source →

Go Where the Students Are: A Comparison of the Use of Social Networking Sites Between Medical Students and Medical Educators.

Background: Medical education has grown beyond the boundaries of the classroom, and social media is seen as the bridge between informal and formal learning as it keeps students highly engaged with educational content outside the classroom. Objective: The purpose of this study is to explore the perceptions of medical educators and medical students regarding the use of social media for educational purposes. Methods: Both groups (medical educators and students) were invited to take a survey. The surveys consisted of 29 questions, including Likert-style, multiple choice, yes/no, ranking, and short answer questions. The survey forms and statistics were built using Google Drive analytics with the free Spanning Stats module. To compare between professors and students, results were exported to a Microsoft Office Excel spreadsheet (Microsoft Corp, Redmond, WA). The study protocol was approved by The Ottawa Health Science Network Research Ethics Board (OHSN-REB:20140680-01H). Results: The overall response rate to the survey was 40.9% (63/154) for students, and 36% (72/200) for medical educators. The majority of educators (79%, 57/72) and students (100.0%, 63/63) had presence on social networking sites (SNSs). Only (33% 19/57) of educators used SNSs with their students, the most used sites were Facebook (52%, 10/19) and Twitter (47%, 9/19), followed by LinkedIn (21%, 4/19), Google+ (16%, 3/19),YouTube (11%, 2/19), and blogs (11%, 2/19). Facebook (100%, 63/63), YouTube (43%, 27/63), Twitter (31%, 20/63), and Instagram (30%, 19/63) were the sites most commonly used by students. The educators used SNSs mainly to post opinions (86%, 49/57), share videos (81%, 46/57), chat (71%, 41/57), engage in medical education (68%, 40/57), take surveys (24%, 14/57), and play games (5%, 3/57). On the other hand, students used SNSs mainly to chat with friends (94%, 59/63), for medical education purposes (67%, 42/63), to share videos (62%, 39/63), to post opinions (49%, 31/63), to take surveys (11%, 7/63), and to play games (6%, 4/63). Most educators (67%, 38/57) do not use social media in their education Although most of the educators (89%, 17/19) and students (73%, 46/63) found the use of social media time-effective, that it offered an inviting atmosphere (89%, 17/19 and 70%, 44/63), and that it enhanced the learning experience (95%, 18/19 and 70%, 44/63), both groups stated that they had colleagues who refused to use social media. The detractors' concerns included privacy issues (47%, 18/38), time-wasting (34%, 13/38), distraction (21%, 8/38), and that these media might not be suitable for education (11%, 4/38). When it came to using SNSs with the students, the educators most often used SNSs to post articles (42%, 8/19), explanatory comments (31%, 6/19), and videos (27%, 5/19).While students preferred the following posts : Quizzes (87% 55/63), revision files (82% 52/63) and explanatory comments (29% 21/63). Conclusions: Although social media continue to grow, some educators find that they do not offer suitable modes of learning. However, it is important to acknowledge that there are persistent differences in technology adoption and use along gender, racial, and socioeconomic lines; this is often referred to as the "digital divide". The current study shows that students prefer certain posts like quizzes and revision files, while educators are focused on posting videos, articles, and explanatory comments. Medical educators are encouraged to focus on the students in a way to minimize the gap between learners and educators. It will remain our responsibility as educators to focuson the student, use SNSs at their fullest, and integrate them into traditional Web-based management systems and into existingcurricula to best benefit the students.

JMIR medical education · 49 citationsread the source →

Cause of Death in Follicular Lymphoma in the First Decade of the Rituximab Era: A Pooled Analysis of French and US Cohorts.

Purpose: Although the life expectancy of patients with follicular lymphoma (FL) has increased, little is known of their causes of death (CODs) in the rituximab era. Patients and methods: We pooled two cohorts of newly diagnosed patients with FL grade 1-3A. Patients were enrolled between 2001 and 2013 in two French referral institutions (N = 734; median follow-up 89 months) and 2002 and 2012 in the University of Iowa and Mayo Clinic Specialized Program of Research Excellence (SPORE; N = 920; median follow-up 84 months). COD was classified as being a result of lymphoma, other malignancy, treatment related, or all other causes. Results: Ten-year overall survival was comparable in the French (80%) and US (77%) cohorts. We were able to classify COD in 248 (88%) of 283 decedents. In the overall cohort, lymphoma was the most common COD, with a cumulative incidence of 10.3% at 10 years, followed by treatment-related mortality (3.0%), other malignancy (2.9%), other causes (2.2%), and unknown (3.0%). The 10-year cumulative incidence of death as a result of lymphoma or treatment was higher than death as a result of all other causes for each age group (including patients ≥ 70 years of age at diagnosis [25.4% v 16.6%]) Follicular Lymphoma International Prognostic Index score 3 to 5 (27.4% v 5.2%), but not Follicular Lymphoma International Prognostic Index score 0 to 1 (4.0% v 3.7%); for patients who failed to achieve event-free survival within 24 months from diagnosis (36.1% v 7.0%), but not for patients who achieved event-free survival within 24 months of diagnosis (6.7% v 5.7%); and for patients with a history of transformed FL (45.9% v 4.7%), but not among patients without (8.1% v 6.2%). Overall, 77 of 140 deaths as a result of lymphoma occurred in patients whose FL transformed after diagnosis. Conclusion: Despite the improvement in overall survival in patients with FL in the rituximab era, their leading COD remains lymphoma, especially after disease transformation. Treatment-related mortality also represents a concern, which supports the need for less-toxic therapies.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 184 citationsread the source →

Impaired survival and long-term neurological problems in benign meningioma.

Purpose: To assess long-term functional outcome and survival among patients with meningioma World Health Organization (WHO) grade I. Methods: Retrospective analysis of 205 patients after resection of WHO grade I intracranial meningioma from 1985 through 2003. Expected age- and sex-specific survival was calculated by applying Dutch life-table statistics to each patient for the individual duration of follow-up. Long-term functional outcome was assessed using a mailed questionnaire to the general practitioner. Results: The mean duration of follow-up was 11.5 years. Survival at 5, 10, 15, and 20 years was 92%, 81%, 63%, and 53%, respectively, which is significantly lower than the expected survival (94%, 86%, 78%, and 66%, respectively). Survival was worse with higher age (P < .001). Survival among patients younger than 45 years and older than 65 years was comparable to the expected survival but significantly worse among patients aged 45-65 years. Analysis of the cause of death suggests an excess mortality associated with both brain tumor death and stroke (P = .07). Recurrence rates at 5, 10, and 15 years were 18%, 26%, and 32%, respectively. Higher Simpson grade (P < .001) and lower age (P = .02) were associated with a higher recurrence rate. In 29 patients (14%) receiving radiotherapy, the 5-year recurrence rate was 18% and the 5-year survival was only 58%. Long-term functioning (≥ 5 years after last treatment) could be assessed in 89 long-term survivors: 29 patients (33%) showed no deficits, and 60 (67%) showed at least 1 neurological symptom, of whom 24 (27%) were unable to perform normal daily activities. Conclusion: Long-term survival in WHO grade I meningioma is challenged in patients more than 45 years of age. Excess mortality seems to be associated with both tumor recurrence and stroke. The majority of patients have long-term neurological problems.

Neuro-oncology · 165 citationsread the source →

Cytotoxicity of Nigella sativa seed oil and extract against human lung cancer cell line.

Nigella sativa (N sativa), commonly known as black seed, has been used in traditional medicine to treat many diseases. The antioxidant, anti-inflammatory, and antibacterial activities of N sativa extracts are well known. Therefore, the present study was designed to investigate the anticancer activity of seed extract (NSE) and seed oil (NSO) of N sativa against a human lung cancer cell line. Cells were exposed to 0.01 to 1 mg/ml of NSE and NSO for 24 h, then percent cell viability was assessed by 3-(4, 5-dimethylthiazol-2yl)-2, 5-biphenyl tetrazolium bromide (MTT) and neutral red uptake (NRU) assays, and cellular morphology by phase contrast inverted microscopy. The results showed NSE and NSO significantly reduce the cell viability and alter the cellular morphology of A-549 cells in a concentration dependent manner. The percent cell viability was recorded as 75%, 50%, and 26% at 0.25, 0.5, and 1 mg/ml of NSE by MTT assay and 73%, 48%, and 23% at 0.25, 0.5, and 1 mg/ml of NSE by NRU assay. Exposure to NSO concentrations of 0.1 mg/ml and above for 24 h was also found to be cytotoxic. The decrease in cell viability at 0.1, 0.25, 0.5, and 1 mg/ml of NSO was recorded to be 89%, 52%, 41%, and 13% by MTT assay and 85%, 52%, 38%, and 11% by NRU assay, respectively. A-549 cells exposed to 0.25, 0.5 and 1 mg/ml of NSE and NSO lost their typical morphology and appeared smaller in size. The data revealed that the treatment of seed extract (NSE) and seed oil (NSO) of Nigella sativa significantly reduce viability of human lung cancer cells.

Asian Pacific journal of cancer prevention : APJCP · 35 citationsread the source →

Recreational drug use, polydrug use, and sexual behaviour in HIV-diagnosed men who have sex with men in the UK: results from the cross-sectional ASTRA study.

Background: Recreational drug use in men who have sex with men (MSM) is of concern because it might be linked to the transmission of HIV and other sexually transmitted infections. Evidence about drug use in HIV-diagnosed MSM in the UK is limited by representativeness of the study populations. We describe patterns of drug use and associations with sexual behaviours in HIV-diagnosed MSM in the UK. Methods: We used data from the cross-sectional ASTRA study, which recruited participants aged 18 years or older with HIV from eight HIV outpatient clinics in the UK between Feb 1, 2011, and Dec 31, 2012. We examined data for MSM, assessing the prevalence of recreational drug use and polydrug use in the previous 3 months and associations with sociodemographic and HIV-related factors. We examined the association of polydrug use with measures of condomless sex in the previous 3 months and with other sexual behaviours. Findings: Our analysis included data for 2248 MSM: 2136 (95%) were gay, 1973 (89%) were white, 1904 (85%) were on antiretroviral treatment (ART), and 1682 (76%) had a viral load of 50 copies per mL or lower. 1138 (51%) used recreational drugs in the previous 3 months; 608 (27%) used nitrites, 477 (21%) used cannabis, 460 (21%) used erectile dysfunction drugs, 453 (20%) used cocaine, 280 (13%) used ketamine, 258 (12%) used 3,4-methylenedioxy-N-methylamphetamine (MDMA), 221 (10%) used gamma-hydroxybutyrate or gamma-butyrolactone, 175 (8%) used methamphetamine, and 162 (7%) used mephedrone. In the 1138 individuals who used drugs, 529 (47%) used three or more drugs and 241 (21%) used five or more. Prevalence of injection drug use was 3% (n = 68). Drug use was independently associated with younger age (p < 0·0001), not being religious (p = 0·001), having an HIV-positive stable partner (p = 0·0008), HIV-serostatus disclosure (p = 0·009), smoking (p < 0·0001), evidence of harmful alcohol drinking (p = 0·0001), and ART non-adherence (p < 0·0001). Increasing polydrug use was associated with increasing prevalence of condomless sex (prevalence range from no drug use to use of five or more drugs was 24% to 78%), condomless sex with HIV-seroconcordant partners (17% to 69%), condomless sex with HIV-serodiscordant partners (10% to 25%), and higher-HIV-risk condomless sex after taking viral load into account (4% to 16%; p ≤ 0·005 for all). Associations were similar after adjustment for sociodemographic and HIV-related factors. Methamphetamine was more strongly associated with higher-HIV-risk condomless sex than were other commonly used drugs. Interpretation: Polydrug use is prevalent in HIV-diagnosed MSM and is strongly associated with condomless sex. Specialist support services for MSM with HIV who use recreational drugs might be beneficial in the reduction of harm and prevention of ongoing transmission of HIV and other sexually transmitted infections. Funding: National Institute for Health Research.

The lancet. HIV · 226 citationsread the source →

Cancer mortality in India: a nationally representative survey.

Background: The age-specific mortality rates and total deaths from specific cancers have not been documented for the various regions and subpopulations of India. We therefore assessed the cause of death in 2001-03 in homes in small areas that were chosen to be representative of all the parts of India. Methods: At least 130 trained physicians independently assigned causes to 122,429 deaths, which occurred in 1·1 million homes in 6671 small areas that were randomly selected to be representative of all of India, based on a structured non-medical surveyor's field report. Findings: 7137 of 122,429 study deaths were due to cancer, corresponding to 556,400 national cancer deaths in India in 2010. 395,400 (71%) cancer deaths occurred in people aged 30-69 years (200,100 men and 195,300 women). At 30-69 years, the three most common fatal cancers were oral (including lip and pharynx, 45,800 [22·9%]), stomach (25,200 [12·6%]), and lung (including trachea and larynx, 22,900 [11·4%]) in men, and cervical (33,400 [17·1%]), stomach (27,500 [14·1%]), and breast (19,900 [10·2%]) in women. Tobacco-related cancers represented 42·0% (84,000) of male and 18·3% (35,700) of female cancer deaths and there were twice as many deaths from oral cancers as lung cancers. Age-standardised cancer mortality rates per 100,000 were similar in rural (men 95·6 [99% CI 89·6-101·7] and women 96·6 [90·7-102·6]) and urban areas (men 102·4 [92·7-112·1] and women 91·2 [81·9-100·5]), but varied greatly between the states, and were two times higher in the least educated than in the most educated adults (men, illiterate 106·6 [97·4-115·7] vs most educated 45·7 [37·8-53·6]; women, illiterate 106·7 [99·9-113·6] vs most educated 43·4 [30·7-56·1]). Cervical cancer was far less common in Muslim than in Hindu women (study deaths 24, age-standardised mortality ratio 0·68 [0·64-0·71] vs 340, 1·06 [1·05-1·08]). Interpretation: Prevention of tobacco-related and cervical cancers and earlier detection of treatable cancers would reduce cancer deaths in India, particularly in the rural areas that are underserved by cancer services. The substantial variation in cancer rates in India suggests other risk factors or causative agents that remain to be discovered. Funding: Bill & Melinda Gates Foundation and US National Institutes of Health.

Lancet (London, England) · 296 citationsread the source →